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Operations Management Dissertation Topics

Published by Alvin Nicolas at January 9th, 2023 , Revised On July 18, 2024

Introduction

Selecting an appropriate topic is   perhaps the most important aspect of the dissertation module. Students spend months and years (in the case of a PhD) on their dissertation projects. Therefore, it is critical to choose an interesting but manageable topic of research. Selecting the right topic can also help complete the paper to the highest quality and within the allocated deadline framework.

This article aims to provide comprehensive support in the selection of a suitable operations management dissertation topic. All the topics presented in this piece are carefully short-listed on the basis of the following important factors;

  • A topic must have a recent research interest/popularity in academics
  • Data must be available to analyse the recent research to develop a case of research in the form of a step forward (contribution factor)
  • The topic must be manageable with respect to the availability of time and resources
  • The chosen topic should encourage the students to explore and investigate to further the research in their preferred area

Writer’s suggestion : Before selecting a topic, outline the type of research you intend to undertake given the available time and monetary resources; such as whether to perform primary or secondary and qualitative or quantitative. For example, you might not be able to conduct a cross-national survey based on primary research, as it can turn out to be a difficult and unmanageable task.

Therefore, it is important to select a topic which you can manage within the given resources; to produce high-quality results that would eventually lead to a high academic score. The following topics are much emphasised in today’s academic world, and you can rely on these topics with utmost trust.

Some of these topics can also include primary research, which may include conducting interviews and/or questionnaires with industry practitioners to suggest the most efficient systems and to present the pros and cons of each system based on the data obtained through primary research.

These operations management dissertation topics have been developed by PhD-qualified writers of our team , so you can trust to use these topics for drafting your dissertation.

You may also want to start your dissertation by requesting a brief research proposal from our writers on any of these topics, which includes an introduction to the topic, research question, aim and objectives, literature review, and the proposed methodology of research to be conducted. Let us know  if you need any help in getting started.

You may want to read about our business writers to see how we can help ease your workload. Check our  free example dissertations and free business and business management dissertation examples to get an idea of how to structure your dissertation.

Review the full list of  dissertation topics here.

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Operations and Management Research Topics

Topic 1: investigating the risks associated with green technology in the chinese construction industry..

Research Aim: This research study aims to investigate the challenges that project managers face while managing Chinese green technology construction projects and the risks associated with it. This study will also examine the relationship between the challenges related to green construction and its impact on its success and will also find improvement in the development of green technology.

Topic 2: Analysing the operational risk in outsourcing software projects for international companies.

Research Aim: The concept of outsourcing is a trending topic nowadays. This research study aims to find the operational risk perceived in the process of outsourcing software projects in international companies and how they eliminate operational risks during the process.

A conceptual framework will be used to investigate the risks for strategic IT system development outsourcing projects.

Topic 3: How do the merger and acquisition of a company affect the performance of its employees? An exploratory study identifying the factors that affect employee's performance. A case study of (Any company or companies can be studied)

Research Aim: This research aims to find the impact of the merger and acquisition of a company on its employees’ performance. This research will use a company or companies as a case study that went through a merger and acquisition. To identify different factors that affect the performance of employees during and after merger and acquisition. And after identifying those factors and their impact on the performance of employees. The research will also recommend possible ways to minimise the impacts of those factors on employees’ performance.

Topic 4: Impact of strategic management on the financial performance of companies

Research Aim: This research aims to find the impact of companies’ strategic management on their financial performance. This study will use indicators suggested by extensive literature in strategic management to gauge the strategic planning done by these companies. The study will then identify to what extent those indicators affect the companies’ financial performance under observation. Based on the results, the study will recommend improvement in the areas that can improve the strategic management of those companies. That, in consequence, will improve the financial performance of those companies.

Topic 5: Analysing the operational risks associated with the manufacturing of automobiles and the role of plant managers in reducing these risks.

Research Aim: This research study aims to identify and analyse the risks that businesses face during the manufacturing of automobiles and vehicles. And how plant managers proposed effective strategies to reduce these risks.  In this study, a conceptual framework of the operational model of management will help increase the overall effectiveness of automobile industries.

Topic 6: An assessment of the Company's tradeoff between innovation and uniformity- A case study of UK IT sector.

Research Aim: The primary goal of this study is to conduct an analysis of a company’s tradeoff between innovation and uniformity. This study will explore different components of the United Kingdom’s IT sector. It will give us an understanding of the importance of innovation and uniformity from a theoretical perspective and also examine the risk factors involved in the United Kingdom’s IT sector.

Topic 7: Operation Management- Comparison between different forecast approaches.

Research Aim: The main goal of this study is to examine various forecasting methodologies used in operation management.   Furthermore, this research offers insight into product operation management and what contributes to making it more effective. In addition, this study will look at the aspects and effects of various approaches utilised in product operation management.

Topic 8: An examination of the Effectiveness of RBT in strategic operation management in the UK manufacturing industry.

Research Aim: The study aims to evaluate the effectiveness of RBT in strategic operation management in the United Kingdom’s manufacturing industry. This study highlights the effectiveness and also discusses the benefits and drawbacks of strategic operation management in the UK manufacturing industry. Furthermore, it also highlights the importance of RBT in the UK manufacturing industry.

Topic 9: Humanitarian operation management- A review of Literature

Research Aim: In this study, we will analyse different previous studies on humanitarian operation management to find its importance. This study will also look at different methodologies used in humanitarian operations. Different scientific advancements and technologies will also be covered in this study.

Topic 10: A study to Determine if Operations Management Solutions Effectively Meet the Needs of Home Care Organisations- An International Perspective.

Research Aim: The main goal of this research is to perform a comprehensive analysis of operational management activities in order to properly comprehend and evaluate them in order to determine the efficiency of various regularly employed strategies. It will also identify key methods utilised in operational management activities, how these solutions are implemented worldwide by home care companies, and how these methods will have an impact on home care organizations, and determine if they will have a favourable or bad impact.

Topic 11: A Study to Understand the Role of Data Analytics in Improving Operational Decision-Making

Research Aim: This research investigates the impact and significance of data analytics on improving operational decision-making processes. It will examine various methodologies, tools, and applications of data analytics and understand the role of data analytics in optimizing operational efficiencies and enhancing overall performance across diverse industries.

Topic 12: Analysing the Effects of Lean Six Sigma Methodologies on Reducing Patient Wait Times in Different Healthcare Settings

Research Aim: To investigate the effectiveness of Lean Six Sigma methodologies in reducing patient wait times within various healthcare settings. Through a comprehensive analysis of case studies, statistical data, and qualitative research methods, this study aims to evaluate the impact of Lean Six Sigma principles on improving operational efficiency and patient satisfaction. 

COVID-19 Operations and Management Research Topics

Topic 1: impacts of coronavirus on global supply chains.

Research Aim: The coronavirus outbreak has resulted in a shortage of essential supplies, including safety equipment and diagnostic and clinical management. WHO (World Health Organisation) has organised a supply chain task force team (COVID supply chain system). This study will identify the details of this supply chain system and discuss how it works.

Topic 2: Intelligent operation management during COVID-19

Research Aim: As a result of COVID-19, industries are facing a lack of resources and staff. This situation calls for intelligent operation management to ensure the continuity of the operation during this challenging situation. This study will analyse how Intelligent operation management works during COVID-19, discussing its advantages, challenges, and possible solutions to improve it.

Topic 1: Impact of JIT on improving supply chain efficiency of large retail outlets

Research Aim: This research aims to identify the impact of JIT on improving the supply chain efficiency of large retail outlets

Topic 2: Operation management strategies B2B and B2C business model

Research Aim: This research aims to assess and compare the operation management strategies B2B and B2C business model

Topic 3: The role of ICT (Information and Communication Technology) in SCM (Supply Chain Management)

Research Aim: This research aims to identify the role of Information and Communication Technology in Supply Chain Management.

Topic 4: TQM (Total Quality Management) as a competitive advantage

Research Aim: This research aims to identify the role of total quality management as a competitive advantage.

Topic 5: A Big Data Approach to Optimizing Last-Mile Delivery in Online Retail

Research Aim: This research aims to identify the role of big data in optimizing last-mile delivery in online retail. 

Original Operations Management Dissertation Topics

Topic 1: analysing the impact of enterprise resource planning (erp) on improving business operations of multinational companies..

Research Aim: The main purpose of this research will be to highlight the major benefits of ERP, which can facilitate multinational organisations to help in conducting business operations productively and effectively. The researcher will identify major factors of ERP that can be related to the effective execution of business operations while increasing the overall productivity and efficiency of the business.

Topic 2: Impact of Just-in-time (JIT) inventory on improving supply chain efficiency of large retail outlets

Research Aim: The researcher will identify the major advantages as well as disadvantages of using Just-in-time (JIT) inventory in the supply chain operations of the major retail outlets. In this study, the researcher will highlight major factors of Just-in-time (JIT) inventory that may directly or indirectly influence the effectiveness of the supply chain of large retail outlets while proposing recommendations to retail companies to increase the effectiveness and productivity of the company.

Topic 3: Analysing the pros and cons of outsourcing logistic operation activities in the construction industry of the UK

Research Aim: The main purpose of this qualitative-natured study will be to identify the major advantages and disadvantages of outsourcing logistic operation activities while focusing on its implementation in the UK construction industry.

Topic 4: Assessing and comparing the operations management strategies of B2B and B2C business models

Research Aim: The researcher aims to discover prompt operations management strategies that are being utilised by major B2B and B2C companies while taking examples of major key players in each of the business models. After identification, the researcher will compare those strategies and recommend the best strategies and practices that can be utilised by each of the business models discussed in the study.

Topic 5: Analysing the operational risks involved in the manufacturing of automobiles and how can minimise these risks

Research Aim: The main aim of this study will be to identify and analyse the major risks that can be experienced by companies during the manufacturing of automobiles and vehicles while proposing effective strategies that can be used by plant managers to reduce these risks. In this study, the researcher will use a conceptual model of operational management, which helps increase the overall effectiveness of automobile industries.

How Can ResearchProspect Help?

ResearchProspect writers can send several custom topic ideas to your email address. Once you have chosen a topic that suits your needs and interests, you can order for our dissertation outline service which will include a brief introduction to the topic, research questions , literature review , methodology , expected results , and conclusion . The dissertation outline will enable you to review the quality of our work before placing the order for our full dissertation writing service !

Supply Chain Management Dissertation Topics

The supply chain is considered one of the most important aspects of business in any organisation, as optimum management in the supply chain leads to successful business operations. Therefore, it is pivotal for organisations to constantly enhance processes and techniques of the supply chain, which involve control, measurements, troubleshooting, adaptability, and innovation of new solutions. The following research topics are suggested for dissertation writing in the field of supply chain management;

  • Supply chain management and the related legal frameworks; Investigating the practices of the UK’s industrial sector
  • The strengths and weaknesses of the supply chain are large and diversified business organisations.
  • The role of supply chain in manufacturing industry of the UK: A comprehensive study to evaluate the impact of supply chain management
  • Influence of state-of-the-art technology-aided systems on supply chain management.
  • Impact of information technology on supply chain management
  • Case study of Dell, IMB and other supply chain control management systems being employed worldwide by large-scale organizations
  • Supply chain management and e-commerce
  • The role of ICT in supply chain management

Lean Manufacturing Dissertation Topics

The lean concepts are still young and in the stage of steady development. New concepts are coming into practice as the efficacy of the old ones continues to diminish. Research ideas that have been much emphasised in recent research studies include Total Quality Control (TQC), Total Quality Management (TQM), Just in Time (JIT), and Total productivity maintenance (TPM). Some interesting topics on this subject are listed below;

  • The influence of lean manufacturing techniques in operations management
  • Analyses of lean manufacturing techniques; Review of the most influential techniques currently being employed in the UK manufacturing Industry; an inside perspective (This may include primary research in which the actual users of different techniques will be requested to provide their views on the impact of different techniques and to recommend which of the techniques can be best used to enhance industry productivity and performance)
  • Total quality management as a competitive advantage: A case study of the UK’s industry (Dell/HP/Other)
  • The relationship between quality management and client Satisfaction: A case of the UK’s construction/manufacturing Industry (This can also include primary research from the perspective of clients/buyers who can be questioned regarding their experience of the construction quality they obtained. The data could then be used to provide key recommendations for quality management)
  • Practical implementation of lean manufacturing techniques: A review of how business organisations have successfully adopted various techniques
  • Influence of new technology on lean manufacturing techniques, such as the use of Business Information Modeling (BIM), SAP, and other tools for enhancement of quality and productivity
  • Evolution of quality from the perspective of the development of lean manufacturing techniques: A study on how industries have been shaped by lean concepts in the past and visualizing the future SOPs

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Inventory Management Dissertation Topics

Inventory Management is another important component of supply Chain Management. A considerable amount of research has been conducted in this field of study in recent times, which highlights the need to establish effective processing techniques and systems so that business organisations can effectively measure/manage the operations of their respective industries.

Optimum inventory management enables control of costs, time, productivity, and delivery, which are considered to be the pillars of any industry. The following topics are presented for dissertation writing on inventory management:

  • The influence of optimum inventory management on supply chain management: A study on how effective inventory management systems can help to establish high-performing supply management systems in an industry
  • Analyses of inventory management systems being employed in the UK industries
  • The impact of latest technological developments on inventory management systems; A case study of the UK’s manufacturing Industry
  • Inventory management systems in the manufacturing industry: Methods, benefits, challenges and opportunities
  • Case study on inventory management in retail; A case study of ASDA/TESCO/SAINSBURURY. (Primary research-based: Data from different stores can be collected and compared)
  • The impact of Just in Time (JIT) on the UK’s inventory management systems
  • Adaptability of JIT inventory management in the UK
  • E-commerce inventory management systems

Product Development Dissertation Topics

New Product Development (NPD) and the role of Research and Development (R&D) in the process of product development have remained a focus of research and a trigger for intense academic debate in the last many years.

The most notable elements of product development include new concept developments, new product designs, product engineering, and market analyses and research.

Many organisations continually strive to develop new products and add these to their product pipelines to earn additional profits. From the consumer perspective, NPD enhances the brand image and provides a research and development edge to business organisations.

  • Evaluating the process of product development: The need and implications
  • Strategies of Product Development and the Product Mix
  • Strategies of product development in various Industries – A case study of a company of your choice. This can also include primary research where different systems can be compared and data analysed.
  • The role of latest technological advancements and computer-aided systems in product development; A case study of the UK’s research and development industry

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Production Planning / Scheduling Dissertation Topics

Production planning and scheduling are considered one of the most crucial aspects of the manufacturing industry because it helps to maintain optimum levels of productivity in accordance with the production plans.

Moreover, Production scheduling has a direct influence on the production business, as it impacts the fundamental elements of production and services, such as production lead times, quality maintenance, and maintenance of supply & demand, and overall client satisfaction. Therefore, research in the field of production planning has been prioritised in modern times, and efforts have been made to develop integrated systems that incorporate various variables and elements of the production plan. Following are some of the selected topics that can be chosen for further research and dissertations;

  • Production Scheduling Analysis: A review of techniques employed in the UK’s Manufacturing Industry
  • Analyses of Production Scheduling/Planning Techniques in Different Manufacturing Industries (Car Industry/Process industry/Steel Industry/Cement Industry)
  • Production Scheduling/Planning Techniques and Profitability of Different Manufacturing Industries (Car Industry/Process industry/Steel Industry/Cement Industry)
  • The Role of Latest Technological Advancements and Computer Aided Systems in Production Scheduling
  • The Role of Information Technology and Innovation in Production Scheduling

Supply Chain Management and Manufacturing Strategy Dissertation Topics

Supply Chain Management (SCM) is a systematic operation that facilitates the manufacturing of a product from raw materials. The manufacturing strategy includes the methods of producing goods and is designed in accordance with the business objectives. Some of the latest supply chain management and manufacturing strategy dissertation topics are given below;

  • Manufacturing strategy: Investigating the importance of optimised manufacturing strategy for successful business operations
  • Review the manufacturing strategies of the UK’s automobile industry/ process industry/ manufacturing industry / any other industry of your choice.
  • The impact of new technologies on the development of optimised manufacturing strategies and techniques
  • Supply chain management: Investigating the importance of optimised supply chain management techniques for successful business operations
  • Examining supply chain management strategies of the UK’s automobile industry/process industry/manufacturing Industry / Any other industry of your choice
  • Use of latest technologies for efficient supply chain management over the last decade (This may include primary research where data would be obtained from the practitioners of manufacturing/other industries via e-mail, interviews and/or questionnaire)

Risk Management Dissertation Topics

Industrial risk management is one of the most researched topics of recent times. Almost every engineering or financial activity involves risks in terms of their consequences and probabilities. The course of the future cannot be fully predicted. Of course, however, various actions can be undertaken to manage/mitigate these risks.

Analysis of various factors that can contribute to the risks, such as political influence, oil prices and exchange rates, equipment performance characteristics, availability of resources, local conditions/environment, etc., can lead to the development of optimised risk management systems for improved project performance.

  • Investigating the risk management systems of the construction industry/automobile Industry/pharma Industry/banking Industry / retail Industry
  • Risk management in the construction industry: How the construction industry can mitigate different types of risks
  • Analyses of factors that contribute to risk in industrial operations; Developing guidelines/best practices to manage industrial risks
  • Risk management and the use of advanced technological tools: Is technology really helping to mitigate risks? (This may include the Use of primary data to find out if the use of computer-aided tools has helped the industry mitigate risks)
  • Risk management methodologies: A review of different methods of risk management employed in the UK
  • Risk Management for Contractors in the Saudi Arabian Construction Industry
  • Examining risks associated with Green technology in the Chinese construction industry
  • Managing Environmental risks in Chinese construction industry

Service Design Dissertation Topics

The efficient management of infrastructures, communications systems, components, materials, and human resources holds the key to improved quality of services. Therefore, it is extremely important to optimise service planning because it can ensure profitability as well as productivity for the service provider. Following are some service design dissertation topics that may concern the students;

  • The impact of future technology on service design
  • Service design analyses of Dell/HP/Other
  • Service design analyses of the UK’s food chain Industry
  • E-commerce web services design and implications
  • Service organisation’s fundamental design requirements & marketing strategies
  • Innovative solutions in service design

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Logistics Dissertation Topics

Logistics is a critical operations management system that helps to manage the flow of goods or services from start to end. Logistics involves operations such as supply chain management, procurement, transportation, inventory, material handling, packaging, and integration of information between different teams. Some interesting topics for Logistics dissertations are listed below:

  • Logistics operations: An evaluation of the logistics management systems in the UK’s construction/manufacturing / another sector of your choice
  • Impact of intermodal international logistics on the operation of the UK’s construction/manufacturing / another sector of your choice
  • Review of logistic management principles and practices employed by the UK‘s industrial sector
  • Optimization of logistics management systems; A review of best practices and procedures
  • Case study analyses: A review of the Logistics Management in TESCO/ASDA/Sainsbury/Other; Is there a competitive advantage?
  • Impact of the latest technology on logistics management

Other Popular Topics in Operations Management

  • Analyses of different methods of procurement systems
  • The Role of government in the development of sustainable operations management
  • The key to Success: Analyses of vision 2030 and vision 2050 with respect to operations management practices of the future
  • Comparison of operations management techniques used in both developed and developing countries; Lesson learnt from the past
  • The role of operations management in the successful completion of projects
  • How BIM has influenced the modern operations management systems in the construction industry

Important Notes:

As a student of operations management looking to get good grades, it is essential to develop new ideas and experiment with existing operations management theories – i.e., to add value and interest to your research topic.

The field of operations management is vast and interrelated to so many other academic disciplines like business , management , marketing , project management , and more. That is why it is imperative to create an operations management dissertation topic that is particular and sound and actually solves a practical problem that may be rampant in the field.

We can’t stress how important it is to develop a logical research topic; it is the basis of your entire research. There are several significant downfalls to getting your topic wrong: your supervisor may not be interested in working on it, the topic has no academic creditability, the research may not make logical sense, and there is a possibility that the study is not viable.

This impacts your time and efforts in writing your dissertation as you may end up in a cycle of rejection at the very initial stage of the dissertation. That is why we recommend reviewing existing research to develop a topic, taking advice from your supervisor, and even asking for help in this particular stage of your dissertation.

Keeping our advice in mind while developing a research topic will allow you to pick one of the best operations management dissertation topics that not only fulfill your requirement of writing a research paper but also add to the body of knowledge.

Therefore, it is recommended that when finalizing your dissertation topic, you read recently published literature to identify gaps in the research that you may help fill.

Remember- dissertation topics need to be unique, solve an identified problem, be logical, and can also be practically implemented. Take a look at some of our sample operations management dissertation topics to get an idea for your own dissertation.

How to Structure Your Operations Management Dissertation

A well-structured dissertation can help students to achieve a high overall academic grade.

  • A Title Page
  • Acknowledgements
  • Declaration
  • Abstract: A summary of the research completed
  • Table of Contents
  • Introduction : This chapter includes the project rationale, research background, key research aims and objectives, and the research problems to be addressed. An outline of the structure of a dissertation can also be added to this chapter.
  • Literature Review : This chapter presents relevant theories and frameworks by analysing published and unpublished literature available on the chosen research topic in light of the research questions to be addressed. The purpose is to highlight and discuss the relative weaknesses and strengths of the selected research area whilst identifying any research gaps. A breakdown of the topic and key terms can have a positive impact on your dissertation and your tutor.
  • Methodology : The data collection and analysis methods and techniques employed by the researcher are presented in the Methodology chapter, which usually includes research design , research philosophy, research limitations, code of conduct, ethical consideration, data collection methods, and data analysis strategy .
  • Findings and Analysis : The findings of the research are analysed in detail under the Findings and Analysis chapter. All key findings/results are outlined in this chapter without interpreting the data or drawing any conclusions. It can be useful to include graphs, charts, and tables in this chapter to identify meaningful trends and relationships.
  • Discussion and Conclusion : The researcher presents his interpretation of the results in this chapter and states whether the research hypothesis has been verified or not. An essential aspect of this section of the paper is to draw a linkage between the results and evidence from the literature. Recommendations with regard to the implications of the findings and directions for the future may also be provided. Finally, a summary of the overall research, along with final judgments, opinions, and comments, must be included in the form of suggestions for improvement.
  • References : This should be completed in accordance with your University’s requirements
  • Bibliography
  • Appendices : Any additional information, diagrams, or graphs that were used to complete the dissertation but not part of the dissertation should be included in the Appendices chapter. Essentially, the purpose is to expand the information/data.

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How to find dissertation topics about operations management.

To find operations management dissertation topics:

  • Study recent industry challenges.
  • Investigate supply chain innovations.
  • Examine technology’s impact.
  • Explore lean management strategies.
  • Analyse sustainability in operations.
  • Select a topic aligning with your expertise and research interests.

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Top 50 Operations Management Dissertation Topics Trending in the Year 2021

  • July 9, 2021 July 15, 2021

Operations management is the field of management that is concerned with the blueprint designing, production at the assembly line and control of the whole process. The process of the production as well as the redesigning of the business operations is done in accordance with the changing supply and demand ratio of the goods and services as well as the projected growth plan.

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(since 2006)

It is the branch of management that is dedicated to the planning, controlling and supervision of the manufacturing, production process and service delivery. It is the stream of a business that is responsible for effective management of the manpower and materials to supervise and control the production of the goods and services as per the set pattern of deadline. The practice is the backbone of any functional business unit and safeguard the production cycle from deviating its actual objectives.

dissertation thesis on operations management

Introduction

The success as well as the survival of an organization is directly dependent on its efficiency and output. Meeting the periodically set goals within the organization charter is the passport to sustain in a ruthlessly competitive environment. The management of all the business operations would administer a practice that ignite the strategy to match the highest level of efficiency. The conversion of the quality raw materials and pain and sweat of the labour in the desired number of quality-based goods and services could create an environment full of zeal and competence. When the profit of the organization is rightfully achieved, all the stakeholders could earn their rightful stake. Moreover, it promotes a sense of belongingness in the employees and bestow them with the opportunities to hone their skills time and again.

Operations management is one of the pivotal subjects in management that constantly feature dissertations and case studies in their semester curriculum. These assignments help students to realise the practicality of the subject and help them understand how things materialise on the ground apart from inculcation of the bookish concepts.

The assignment help provided by the experts could help in the completion of the given homework tasks as per the expected standards on time. Here, we are sharing the list of top 50 dissertation topics that can be chosen from absolutely for free. If you are keen to let the professionals choose the topic and get the complete assignment done on your behalf, then also assignment writing services from the best in business could get the job done.

The Levels of Operations Management Implementation

The management of the operations is primarily done at the following three levels –

  • Strategic Level: Work on the broader terms, where the goals of the company are defined, and the operations managers are assigned the task to develop the strategies accordingly. For example, if we try to define all the three levels with respect to an organization engaged in furniture business, then the strategic level of operations management would include the preparation of blueprint for the location and the layout of the furniture factory.
  • Tactical Level:  The tactics are used by the employees at the managerial level to accomplish those strategies step by step. These include the tasks or the steps that are defined to successfully implement the strategies. The tactical level shall incorporate the hiring and training of the workforce to function as per the strategic needs and set the roadmap of executing the third level. 
  • Operations Level: The final level where all the components of production are brought together and materialised. These include the purchase of wood and fabric, the availability of raw materials and cutting tools and all the other fabrication equipment. It is widely regarded and practised as the final level of operations management before the final product or service gets its final shape.

The students who frequently reach us for dissertation help are assigned with the operations management homework somehow revolving around these three levels only. When experts having real-life practical understanding of the things get involved in the assignment writing process, it reflects in the submitted work word-by-word.

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We are surely not expecting the students to submit a miracle of an assignment homework once they go through the provided set of dissertation topics below. The quality of the work still be dependent upon the consistency with the language, syntax proficiency, delivery of citation in instructed referencing style, and conducting plethora of concrete research to back each argument. Not to mention, crisp editing chops and seamless proofreading of the final draft is also somehow not related to the selection of the topic.

But what we are expecting out of this whole effort is to ensure that our students do have a wide range of pertinent topics to pick from. Our efforts are directed to the fact that our students pick a topic that is trending in the contemporary age and does make sense in the eyes of the evaluator.

Additionally, our prima-facie motto is to help our management students to save time, energy, and resources. The most complex dilemma faced by our students is the exploration and selection of the right topic. What, and why? Most of the students fight these conundrums to reach the most suited topic selection and spend an exhaustive amount of time and research. Exploring the topic at the personal level of the student could be a relevant choice in case he or she have months at disposal before the final submission of work. It is the privilege accessible to the scholars submitting their paper or thesis for research purpose only.

Management students following a conventional curriculum are required to submit their homework assignments with a stringent deadline. That is the point where not only days, even the hours count! Here, the accessibility to strong dissertation topics, and that too for free could become a real game-changer for the students. Besides, their request for online assignment help is served on priority right from topic selection to the dispatch of purely refined final homework draft.

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Operations Management Online Assignment Help

Top 50 Operations Management Dissertation Topics for your Next Assignment Reference

We have classified the operations management dissertation topics into 10 sub-categories to make the search of the students much easier. Let us look at the list derived by the experts for the convenience of operations management students worldwide hereunder –

  • Supply Chain Control and Design Dissertation Topic
  • Understanding virtual supply chain and its role in shaping the short-term business partnerships
  • Blockchain technology and its impact on the supply chain in the UK: Issues and challenges
  • The influence of information technology on the manufacturing firms in Canada
  • Big data and its function in revolutionising the operations management for online retailers
  • I Robot: The utility of robotic automation and picking by Alibaba and its impact on the supply chain efficiencies
  • Inventory Management Operations Dissertation Topics
  • Inventory management is the backbone of supply chain management: Discuss
  • The significance of RFID in the inventory management at the unit of Toyota UK
  • Conduct an assessment of the inventory management in an organization from car manufacturing sector
  • Inventory management featuring multiple procurement modes: A US case study
  • The function of AI resulting in precise stock decisions at eBay.com
  • Production Scheduling Dissertation Topics
  • Production scheduling techniques in a pharma manufacturing unit in India
  • Production scheduling pattern in steel industry: A Mittal Steel case study
  • How AI is improving quality control? An Amazon.com case study
  • How real time communication is significant in operations management amidst multi-site manufacturers?
  • How productivity and employee motivation can be increased through cross-employee communication and integrated production planning?
  • Product Development Dissertation Topics
  • How do they get it done? A critical analysis of the NPD strategy and process at Apple
  • How 3D printing technology is transforming the NPD process and what is its scope for small scale businesses?
  • Product life cycles and the digital age: Is the need for a new approach inevitable?
  • Product development strategy: A Microsoft case study
  • New product development through crowd funding: How people are empowering innovation?
  • Service Design Dissertation Topics
  • How big data analytics result in effective service design?
  • How the dynamic technological change in the future could impact service design?
  • Customer empathy is the new service mantra, or is it merely the new bottles and old wine?
  • Sequencing the journey of customers to enhance the service design experience
  • Customer service journey at Tesla Motors: Partnerships and alliances
  • Dynamic Pricing Dissertation Topics
  • How price guarantees an integral part of dynamic pricing strategies?
  • Competition-oriented dynamic pricing in the e-commerce industry
  • Dynamic pricing in B2B environment in the United States
  • Dynamic pricing in airline and retail sector: A comparative study
  • The significance of dynamic pricing in ‘the auctioning’
  • Industry Risk Management Dissertation Topics
  • Risk management in the construction industry in Australia: A case study
  • How risk management in banking is unique in comparison of other sectors?
  • Industrial risk management: The influence of internal and external factors
  • How the impact of risk could hamper the production decisions?
  • Discuss industrial risk management by distinguishing the rural from the urban part in India
  • Logistics Dissertation Topics
  • Discuss the vehicle route optimisation in the city of London
  • Discuss last mile logistics in the successful delivery of fresh vegetables and fruits across the cities
  • How to optimise third part logistics with the help of Big Data?
  • How value chain strategy is impacting the logistic industry in Canada?
  • Logistics management delivering a competitive edge: An Asda and Tesco case analysis
  • Manufacturing Dissertation Topics
  • Human rights abuses in the automobile manufacturing sector in China
  • The manufacturing strategy of Boeing: An analysis
  • Bringing manufacturing assembly line management with respect to environmental management: A BMW case study
  • ERP: Is it a boon to the supply chain strategy?
  • Improving the manufacturing strategy and standard with the help of the Cloud
  • Total Quality Management (TQM) Dissertation Topics
  • What is the influence of TQM on the modern innovation?
  • How quality evolved over a period of time? First 50 years of the production and the operations management in the United Kingdom
  • Total Quality Management (TQM) and customer satisfaction in the homebuilding operations
  • Discuss the setbacks associated with the EFQM (European Foundation for Quality Management) Model
  • To what extension and limitation can the implementation of TQM be done in the public sector?

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Well, with that we conclude our list of the latest dissertation topics dedicated to the assignments related to operations management. The best part is that these titles can be customised to suit the assignment writing formats other than dissertations. The requirements of the management students related to case study help , essay help , research paper writing help or thesis help . If you have already chosen your desired topic but struggling to move ahead, then you can always hire the experts for paid assignment help to get the assignment done as per the instructions on your behalf.

Operations management is widely regarded as one of the most complex yet interesting subjects that a b-school aspirant could pursue. The dissertations and case studies associated with the subject do have a touch of finance, mathematics, and information systems to deliver a combined package of knowledge. It is one of the few major subjects in the field of management that do have ground-level, practical implication to begin with. The assignments related to the subject are not only pivotal in terms of quality grades to pass-out with, but also fetch the lessons that can turn out to be productive in the entire lifetime of their careers.

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Operations Management Research Paper Topics

Academic Writing Service

Operations management research paper topics encompass a wide array of subjects related to the effective planning, organizing, and supervision of business operations. These topics offer a rich field of inquiry for scholars and practitioners alike, reflecting the complexity and centrality of operations management in modern business. This page is designed to provide students with comprehensive guidance on operations management research, including a categorized list of research topics, insights into choosing and writing on these topics, and exclusive writing services by iResearchNet. Whether you are a beginner or an advanced researcher in the field, this resource aims to support your exploration of the diverse and dynamic world of operations management.

100 Operations Management Research Paper Topics

Operations management is a multifaceted field that integrates various aspects of business like production, logistics, quality control, and much more. For students looking to delve into research, here’s an extensive list of topics categorized into ten different sectors.

Academic Writing, Editing, Proofreading, And Problem Solving Services

Get 10% off with 24start discount code, production management.

  • The role of technology in enhancing production efficiency.
  • Sustainable production practices and their impact on profitability.
  • Mass customization in modern manufacturing.
  • Just-in-time (JIT) production: Pros and cons.
  • Managing production lines for optimal workflow.
  • The influence of automation on manufacturing processes.
  • Ergonomics and production management.
  • The future of 3D printing in manufacturing.
  • Outsourcing production: Challenges and opportunities.
  • Lean manufacturing principles and their application.

Supply Chain Management

  • The importance of information sharing in the supply chain.
  • Risk management in global supply chains.
  • Ethical considerations in supply chain management.
  • Impact of e-commerce on traditional supply chain models.
  • Inventory management: Best practices.
  • The role of transportation in the supply chain.
  • Achieving sustainability through green supply chain practices.
  • The influence of big data on supply chain decisions.
  • Cross-border supply chain challenges.
  • Vendor management and strategic partnerships.

Quality Control and Assurance

  • Total Quality Management (TQM) in the 21st century.
  • Six Sigma methodology in operations management.
  • Quality assurance in the food and beverage industry.
  • Role of continuous improvement in quality management.
  • Balancing cost and quality in manufacturing.
  • Role of customer feedback in quality assurance.
  • Impact of quality control on brand reputation.
  • Quality assurance standards in healthcare.
  • The relationship between employee training and quality control.
  • Quality management systems: ISO 9001 and others.

Logistics Management

  • Technological advancements in logistics and distribution.
  • Managing logistics in e-commerce.
  • Impact of globalization on logistics management.
  • Third-party logistics (3PL) vs. in-house logistics.
  • Green logistics: Integrating sustainability.
  • Humanitarian logistics in disaster management.
  • Role of government regulations in logistics.
  • Challenges of urban logistics.
  • Reverse logistics: Principles and practices.
  • The future of drone technology in logistics.

Service Operations Management

  • The importance of customer experience in service operations.
  • Managing service quality in the hospitality industry.
  • Service blueprinting as a tool for service design.
  • Role of technology in enhancing service efficiency.
  • Balancing supply and demand in service industries.
  • The application of lean principles in service operations.
  • Innovations in healthcare service operations.
  • Ethical considerations in service provision.
  • Outsourcing services: A strategic perspective.
  • Transforming traditional services with digital technologies.

Strategic Operations Management

  • Aligning operations strategy with business goals.
  • The role of operations management in organizational success.
  • Developing a competitive advantage through operational excellence.
  • Integrating innovation into operations strategy.
  • Global strategies in operations management.
  • The role of leadership in strategic operations management.
  • Operations strategy in small and medium-sized enterprises (SMEs).
  • Evaluating the performance of an operations strategy.
  • Mergers and acquisitions: Integrating operations.
  • Strategic considerations in outsourcing operations.

Sustainability and Environmental Considerations

  • Incorporating sustainability into operations management.
  • Environmental regulations and their impact on operations.
  • Waste management practices in manufacturing.
  • Achieving energy efficiency in operations.
  • Sustainable practices in supply chain management.
  • The role of corporate social responsibility (CSR) in operations.
  • Life cycle assessment in product design.
  • Sustainable procurement practices.
  • The green factory: Myths and realities.
  • Social sustainability in operations management.

Technology and Innovation Management

  • The impact of Industry 4.0 on operations management.
  • Implementing Artificial Intelligence (AI) in operations.
  • Challenges of integrating IoT in manufacturing.
  • The role of innovation in competitive advantage.
  • Managing technology-driven change in organizations.
  • Virtual reality (VR) and augmented reality (AR) in operations.
  • The future of robotics in manufacturing.
  • Innovation culture: Fostering creativity in operations.
  • Technology management in healthcare operations.
  • Digital transformation and its impact on operations.

Project Management

  • Agile project management in operations.
  • Risk management in project execution.
  • The role of project management offices (PMOs).
  • Project portfolio management: An integrated approach.
  • Tools and technologies for efficient project management.
  • Stakeholder management in project execution.
  • The psychology of project management.
  • Cross-cultural considerations in global projects.
  • Managing virtual teams in projects.
  • Project failure: Analysis and lessons learned.

Human Resources and Operations

  • Managing diversity in operations management.
  • The role of team dynamics in operational success.
  • Talent management in operations.
  • Employee motivation and performance in operations.
  • Human factors in safety management.
  • The importance of organizational culture in operations.
  • Training and development in operations management.
  • Employee engagement and its impact on operational efficiency.
  • Managing remote work in operations.
  • Labor relations and negotiations in operations.

Operations management remains an evolving and essential field in both academia and industry. The above topics reflect the breadth and depth of areas one could explore. Each subject offers unique insights and challenges, enabling students to apply theoretical concepts to real-world scenarios. These topics are designed to inspire critical thinking and provide a starting point for those embarking on research in operations management. Whether you are looking for a topic that aligns with your interests or seeking to address current issues in the field, this comprehensive list offers diverse paths to contribute to the body of knowledge in operations management.

Operations Management and the Range of Research Paper Topics

Operations management is a vital aspect of business that deals with the design, administration, and optimization of business processes. It plays a crucial role in ensuring that an organization operates efficiently and effectively. From manufacturing to services, operations management transcends various sectors and industries. In this article, we’ll delve into the multifaceted world of operations management, explore its significance, and elucidate the range of research paper topics it offers.

Introduction to Operations Management

Operations management is all about the planning, oversight, and control of processes that transform inputs such as materials, labor, and technology into outputs like goods and services. It’s a dynamic field that requires a blend of analytical thinking, problem-solving, and practical skills.

Operations managers focus on improving efficiency, reducing costs, maintaining quality, and ensuring that products or services are delivered on time. The scope of operations management is broad, encompassing areas like:

  • Production Management : Deals with the creation of goods and services.
  • Supply Chain Management : Focuses on the flow of materials from suppliers to customers.
  • Quality Control : Ensures products meet specified quality standards.
  • Logistics : Concerned with the movement, storage, and flow of goods.
  • Project Management : Involves planning and overseeing projects to ensure they are completed on time and within budget.

Significance of Operations Management

Operations management is at the heart of any organization, impacting several critical areas:

  • Efficiency : By optimizing processes and eliminating waste, operations management helps in utilizing resources more efficiently.
  • Cost Reduction : Through continuous improvement and innovation, costs can be reduced, leading to higher profitability.
  • Customer Satisfaction : By ensuring quality and timely delivery, operations management plays a key role in customer satisfaction.
  • Competitive Advantage : Organizations that excel in operations management often have a competitive edge in the market.

The Ever-Evolving Nature of Operations Management

The field of operations management continues to evolve, driven by technological advancements, globalization, environmental concerns, and changing consumer preferences. Topics such as sustainability, automation, digital transformation, and global supply chain challenges are becoming increasingly relevant.

Range of Research Paper Topics

Given the diverse and complex nature of operations management, the range of research paper topics is vast and can be categorized into several areas:

  • Production Management : From lean manufacturing to the use of artificial intelligence, research can focus on how to make production more efficient and adaptable.
  • Supply Chain Management : Topics could include risk management, ethical considerations, green practices, and the influence of e-commerce on traditional supply chains.
  • Quality Control and Assurance : Research in this area could explore methodologies like Six Sigma, continuous improvement, and the relationship between training and quality control.
  • Logistics Management : With the growing importance of e-commerce and sustainability, research in logistics management is thriving.
  • Service Operations Management : This includes the design and management of processes that create and deliver services, with potential research focusing on customer experience, technology, and innovation.
  • Strategic Operations Management : Research topics can explore how operations strategy aligns with business goals and contributes to competitive advantage.
  • Sustainability and Environmental Considerations : This is an emerging area focusing on how operations management can contribute to a more sustainable future.
  • Technology and Innovation Management : From Industry 4.0 to digital transformation, this category looks at how technology is reshaping operations management.
  • Project Management : Topics might include agile methodologies, stakeholder management, risk mitigation, and cross-cultural considerations in global projects.
  • Human Resources and Operations : This could include topics like managing diversity, team dynamics, employee motivation, and training in operations management.

Operations management is a vibrant and multifaceted field with a wide array of research possibilities. From traditional manufacturing to modern service industries, from small businesses to multinational corporations, operations management is at the core of organizational success.

The broad range of topics reflects the evolving nature of the field and the challenges and opportunities that come with it. For students seeking to contribute to this essential area of business, these topics offer a rich and diverse avenue for exploration and innovation.

By understanding and engaging with these various aspects, scholars, practitioners, and students can appreciate the importance of operations management in today’s global economy and contribute to its future development. Whether through academic research or practical application, operations management remains a critical field that continues to shape the way businesses operate and thrive.

How to Choose Operations Management Research Paper Topics

Choosing the right topic for a research paper in operations management is a critical step that can significantly impact the quality and relevance of your work. It can be both an exciting and daunting task, given the wide array of topics available in this dynamic field. In this section, we’ll provide an introductory paragraph, 10 practical tips, and a concluding paragraph to guide you in selecting the ideal operations management research paper topic.

Operations management is a multifaceted field that encompasses various aspects of business processes, from production to logistics, supply chain to quality control. As such, it offers a wide range of intriguing research paper topics. The right topic not only aligns with your interests and academic goals but also has the potential to contribute to the broader field of operations management. Here are some tips to assist you in making an informed choice.

10 Tips for Choosing Operations Management Research Paper Topics

  • Identify Your Interests : Start by listing areas within operations management that intrigue you the most. Passion for the subject can fuel your research and make the process more enjoyable.
  • Understand the Scope : Consider the breadth and depth of the topic. A topic that’s too broad may be unmanageable, while a too narrow focus may lack sufficient material for research.
  • Check for Relevance : Ensure that the topic aligns with current industry trends and challenges. A relevant topic will have a greater impact and may open opportunities for further study or career advancement.
  • Consult Academic Sources : Look through academic journals, textbooks, and other scholarly publications in operations management to discover prevailing research themes and gaps in the literature.
  • Consider Practical Implications : If possible, choose a topic that has practical applications in real-world scenarios. This connection between theory and practice can make your research more compelling.
  • Assess Available Resources : Evaluate the resources you have at your disposal, including access to data, software, labs, or industry experts. Some topics might require specialized tools or contacts.
  • Seek Guidance from Advisors : Consult with professors, mentors, or industry professionals who have expertise in operations management. Their insights can help refine your topic and provide direction.
  • Evaluate Your Skill Set : Reflect on your skills and expertise in the subject area. Selecting a topic that complements your strengths will facilitate a smoother research process.
  • Consider Ethical Implications : Ensure that the chosen topic adheres to ethical standards, especially if it involves human subjects, sensitive data, or controversial issues.
  • Think about Future Opportunities : Your research paper can be a stepping stone for further studies, publications, or career opportunities. Consider how the chosen topic might align with your long-term goals.

Concluding Thoughts

Choosing a research paper topic in operations management is a delicate balance between your interests, the academic and industry relevance, the feasibility of research, and alignment with ethical standards. By adhering to these tips, you can select a topic that not only resonates with your passion and capabilities but also contributes to the field of operations management.

Remember that the right topic is a catalyst that can ignite your creativity and analytical abilities, leading to a meaningful and rewarding research experience. Whether you’re exploring sustainable supply chain practices or innovative quality control techniques, your choice of topic is the foundation upon which your entire research project is built. Make it a strong, informed one, and you’ll set yourself up for success in the vibrant world of operations management.

How to Write an Operations Management Research Paper

Writing a research paper in operations management is a systematic process that requires careful planning, in-depth research, and coherent presentation. This endeavor involves not only an understanding of the operations management concepts but also the ability to analyze, evaluate, and apply them in various real-world contexts. Below, you will find an introductory paragraph, 10 essential tips, and a concluding paragraph to guide you through the process of writing an operations management research paper.

Introduction

Operations management is a complex field that integrates various aspects of production, quality control, logistics, and supply chain management. Writing a research paper on a topic within this discipline demands a clear understanding of both theoretical principles and practical applications. The task may seem overwhelming, but with the right approach and adherence to specific guidelines, you can craft a paper that stands out in quality and relevance.

10 Tips for Writing an Operations Management Research Paper

  • Choose the Right Topic : Refer to the previous section for tips on selecting a relevant and engaging topic that aligns with your interests and the broader field of operations management.
  • Conduct Thorough Research : Utilize reputable academic sources such as journals, textbooks, and industry reports. Gather sufficient data and insights that relate to your chosen topic.
  • Create a Strong Thesis Statement : Your thesis should clearly articulate the main idea or argument of your paper. It serves as the guiding star for your entire research.
  • Develop an Outline : Before diving into writing, create a detailed outline that maps out the structure of your paper. It should include an introduction, literature review, methodology, findings, discussion, conclusion, and references.
  • Write a Compelling Introduction : Start your paper with an engaging introduction that provides background on the topic, states the problem, and introduces the thesis statement.
  • Include a Literature Review : Summarize existing research on the topic, highlighting key theories, models, and empirical findings. This section establishes the context for your study.
  • Explain Your Methodology : Describe the research design, methods, and tools you used to collect and analyze data. Be meticulous in explaining how you ensured the reliability and validity of your study.
  • Present Findings Clearly : Organize and present your research findings in a logical manner. Use charts, graphs, and tables where necessary to visualize the data.
  • Discuss the Implications : In the discussion section, interpret the results, compare them with existing research, and explore the implications for operations management practice and future research.
  • Edit and Revise : Spend ample time revising and proofreading your paper. Consider seeking feedback from peers, mentors, or professional editing services to ensure clarity, coherence, and correctness.

Writing a research paper in operations management is a rewarding yet challenging task. It requires a fusion of technical knowledge, analytical thinking, and writing skills. By following the tips outlined above, you’ll be well-equipped to craft a paper that is not only academically rigorous but also relevant to the dynamic and multifaceted world of operations management.

Remember, writing a research paper is a process that demands time, effort, and perseverance. Be patient with yourself and stay committed to excellence at every stage of the journey. The final product – a well-researched, well-written paper – is a testament to your intellectual curiosity, hard work, and contribution to the ever-evolving field of operations management. Whether you’re a seasoned researcher or a student just starting out, these guidelines are designed to empower you to write with confidence and integrity in the domain of operations management.

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The field of operations management is multifaceted, combining elements of logistics, supply chain management, quality control, and production. Creating a research paper that captures all these aspects can be a daunting task. iResearchNet, a leading academic writing service provider, is here to help students craft impeccable operations management research papers. With a team of expert degree-holding writers, state-of-the-art research methods, and top-notch customer support, iResearchNet offers a full suite of services tailored to your needs. Below, you will find an introductory paragraph, details of our 13 standout features, and a concluding paragraph.

At iResearchNet, we understand the challenges students face when tasked with writing a research paper on a complex subject such as operations management. That’s why we have designed our services to offer a customized solution that caters to your unique requirements. Whether you need assistance with topic selection, research, writing, or formatting, our team of professional writers and researchers is ready to provide comprehensive support.

  • Expert Degree-Holding Writers : Our writers are not just professionals; they are experts in the field of operations management. With advanced degrees and years of experience, they are capable of providing insightful and well-researched papers.
  • Custom Written Works : Every paper we produce is crafted from scratch, ensuring that it is tailored to your specific needs, guidelines, and academic standards.
  • In-Depth Research : Leveraging a rich library of resources, our team conducts extensive research, gathering relevant data and information to support the thesis and arguments of your paper.
  • Custom Formatting (APA, MLA, Chicago/Turabian, Harvard) : Our writers are proficient in various formatting styles, ensuring that your paper complies with the specific guidelines of your academic institution.
  • Top Quality : Quality is at the core of our services. Each paper undergoes rigorous quality checks to guarantee that it is well-structured, coherent, and free of plagiarism.
  • Customized Solutions : We recognize that each student’s needs are unique. Whether you need a complete research paper or assistance with specific sections, we provide personalized solutions to meet your requirements.
  • Flexible Pricing : We offer a variety of pricing options to suit different budgets, without compromising on quality. Our goal is to provide affordable academic support to all students.
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  • Timely Delivery : We honor deadlines and ensure that every paper is delivered on time, allowing you to review and make any necessary revisions.
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iResearchNet is committed to empowering students in their academic journey by providing top-tier writing services tailored to the complex world of operations management. Our comprehensive approach, attention to detail, and dedication to excellence set us apart in the industry.

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dissertation thesis on operations management

Operations Management Dissertation Topics

Choosing a great topic for your graduate, master or doctoral dissertation can often feel more challenging than actually undertaking the study. Knowing that the time spent on this work, which may be months, or in some cases years, on a PhD or Master’s Degree is so critical to success can making the topic choice seem daunting. Our advice is to always choose a topic that you love, or an area you find interesting because this makes the whole process much less arduous. It’s also often a good idea to look into the areas where your advisor has knowledge and experience so that they can guide and focus your work. Most importantly the topic should be focused and manageable. If these factors are taken into account when choosing a topic in the field of Operations Manager, the overall task will be much easier, interesting and can lead to new routes for you in your professional or academic development. To help in preparing for this great challenge, this article provides suggestions for Operations Management topics in a range of key areas such as the supply chain, scheduling, inventory management and design of services, all of which are current areas in the field.

  • Supply chain design and control Dissertation Topics

Inventory Management Dissertation Topics

Production scheduling dissertation topics, product development dissertation topics, design of services dissertation topics, dynamic pricing dissertation topics, industrial risk management dissertation topics, logistics dissertation topics, manufacturing and supply-chain dissertation topics.

  • Total quality management Dissertation Topics

Supply Chain Design and Control Dissertation Topics

The development and maintenance of effective Supply chains is one of the most crucial organisational elements of any manufacturing organisation and their achievement of competitive advantage and the building of good customer relationships. The planning, design and effective control of the supply chain and its various elements and stakeholders is of utmost importance to the success of the organisations. Organisations need to evaluate continuously improve and evolve their supply chains, and there is an increasing use of technology and other digital solutions to support control, measure and evaluation of this important facet of the organisations systems. With the development of automation, data analytics and a focus on corporate social responsibility effective and innovative supply chain design and control is moving forward into a new era. For up to date, timely operations management dissertation topics within this area please see the suggestions below.

  • What does “Legality” mean in reference to supply chain design?
  • The virtual supply chain and its role in streamlining short-term business partnerships
  • Supply chain management: Is autonomous transportation a reality and how effective can it be?
  • Blockchain technology and its effect on the UK supply chain: Issues and challenges
  • Supply chain management and impact of information technology: An analysis of manufacturing firms in UK.
  • E-commerce for supply chain management.
  • Supply chain management: Case study on Amazon.com and innovative solutions for packing, picking and delivering
  • Big Data and its role in revolutionising the supply chain for online retailers
  • How the supply chain differs on a B2C site compared to a B2B environment.
  • Supply chain control management: A case study on HP, UK.
  • Track and trace technology and its contribution to competitive advantage at Johnson and Johnson
  • I Robot : the use of Robotic picking and automation by Alibaba and the effect on supply chain efficiencies
  • How important will crowd-sourced transportation like Uber and Deliveroo be for reducing costs and increasing efficiency during “last mile delivery”

Inventory management is the supervision of non-capitalized assets (inventory) and stock items. A component of supply chain management, inventory management supervises the flow of goods from manufacturers to warehouses and from these facilities to point of sale.

As an integral component of supply chain management, inventory management refers to the systems of supervision for inventory and stock items, managing and monitoring the flow of goods from manufacturers to distributors and retailers. The processes can be complex and an inventory management system requires clear planning and concise and closely measured processes and technologies to ensure accuracy and efficiency. Suggestions for operations management dissertations topics on inventory management are:

  • Inventory management is still the backbone of supply chain management: True or False?
  • The influence of big data analytics in effective inventory management.
  • The importance of RFID in inventory management at Toyota UK.
  • How Smart is Smart Inventory in the grocery retail sector : Analysis of Smart inventory management at Tesco.
  • The internet of things and inventory management : how IoT is connecting customers to suppliers in a more efficient way
  • Inventory management or logistics solutions: how just in time approaches and inventory technology are changing traditional inventory management processes
  • Inventory management for e-commerce.
  • Inventory management with multiple procurement modes: A case study in UK.
  • Analytical study of inventory management in a car manufacturing organisation.
  • Warehouse drones and how they could change the face of inventory management : Examination of Sony and Amazon’s plans for connecting robotic automation with inventory management software
  • Are wearable scanning devices more time efficient than hand-held units – examination of wearable scanners in a FMCG warehouse setting
  • AI and inventory management : The role of artificial intelligence in making accurate stock decisions at Amazon.com

Production planning refers to the organisational function of establishing an overall level of output, called the production plan. The process also includes any other activities needed to satisfy current planned levels of sales, but should also incorporate the the firm’s general objectives in terms of profit, productivity, lead times, and achievement of customer satisfaction, defined with the strategic plan for the organisation. From a managerial perspective production planning requires the development of an integrated strategy where the operation element is the foundation and a crucial element of the production plan. Dissertations in production scheduling could cover any of the following topics.

  • Production scheduling techniques in a manufacturing environment.
  • Production scheduling techniques in a car manufacturing industry.
  • Toyota production scheduling techniques: A case analysis in UK.
  • The significance of theory of constraints in production scheduling.
  • Production scheduling in steel industry: A case study on Mittal Steel.
  • Fuzzy theory applied to production planning as a means of improving the accuracy of planning decision making processes
  • How integrated production planning and cross-employee communication increases productivity and employee motivation
  • Using AI to improve quality control : A case study of Amazon.com
  • Production scheduling optimisation within the Pharmaceutical industry through technology
  • Real time communication between multi-site manufacturers and the impact on productivity scheduling

Product development (NPD) is the term used to describe the complete process of bringing a new product or service to market. There are two parallel paths involved in the product development process: one involves the idea generation, product design, and detail engineering whilst the second path involves market research and marketing analysis for the proposed new product. NPD is the first operational stage in generating and bringing to market new products when looked at from the perspective of product life cycle management. If your area of interest is NPD, the following dissertation topics may be useful:

  • Fitting in: The world of the techno eco-system and what it means for NPD
  • Product development and how the process has been hijacked by consumers wanting to collaborate and innovate with food companies
  • Product mix and New Product Development strategies to meet consumer’s ethical and CSR demands
  • How do they do it? Critical analysis of Apple’s NPD strategy and process
  • Product development strategy In the automotive industry: Toyota’s lean thinking and its effectiveness in launching new products
  • Is technology like 3D printing changing the NPD process and what does this mean for small businesses?
  • Product life cycles in the digital age – is a new approach needed?
  • Product development strategy: case study Amazon.com.
  • Impact of information technology on product development strategy: case study on organisations based in UK.
  • Crowd-funding, new product development and people powered innovation: a new theory of NPD and its place in the product life cycle

Service Design is the activity of planning and organising people, infrastructure, communication and material components of a service, in order to improve its quality, the interaction between service provider and customers and the customer’s overall experience. The increasing relevance of the service sector, both in terms of people employed and economic importance, requires services to be accurately designed. An operations dissertation on the design of services could include:

  • Customer service in e-business : Case study of Amazon.com
  • Spirituality, investment and motivation: Why Starbucks services design is a major contributor to its success.
  • Service design in fund management company.
  • Design and implementation of e-commerce web services.
  • Four major characteristics of services and the marketing strategies available for the service organisation.
  • Impact of big data analytics in creating effective service design.
  • Solutions and experience are the new service mantras, or are they just old wine in new bottles?
  • Future technology impact on service design.
  • The principles of service design thinking and how to apply them in a small restaurant business
  • Applying service design in the NHS: Sequencing a customer journey to improve experience
  • Co-creation of the service journey in manufacturing, from order through processing to delivery: examination of the integration of service design at BMW
  • Tesla motors and co-creation of a full service journey for customers through partnerships and alliances

Variable, dynamic pricing allows the retailer to change or fluctuate prices due to different variables, conditions, and situations. Being able to manage dynamic pricing strategies is a key ability for companies wishing to succeed in the world of e-commerce in particular. The forces of supply and demand are leading variables that dictate pricing. An operations dissertation on dynamic pricing would make for very interesting reading.

  • E-business models of dynamic pricing.
  • Dynamic pricing: A case study of the travel industry.
  • Consumer responses to dynamic pricing in the airline industry
  • Dynamic pricing: A case study of the insurance industry.
  • Comparing the use of dynamic pricing in the airline and retail industries
  • The importance of dynamic pricing in ‘auctioning’.
  • Analysis of the current issues, future trends and opportunities associated with dynamic pricing.
  • The significance of dynamic pricing in online retailing
  • Dynamic pricing: A case study on easyJet.
  • Dynamic pricing in a B2B environment in the UK.
  • Dynamic pricing in the UK service industry
  • Competition-based dynamic pricing in e-commerce
  • Price guarantees and dynamic pricing strategies

The majority of industrial and engineering operations are in the risk world. Almost everything done involves probabilities and consequences. Within these industrial settings, there are many factors contributing to uncertainty, for example, external influences (oil prices, political changes, etc.), equipment characteristics (reliability, availability), materials, contractors’ performance, suppliers, organization complexity, and human error. This is a very important issue within the business world and makes for an excellent operations dissertation.

  • Risk management in the UK construction industry: A case study
  • Risk management in the pharma industry: a case study analysis in the UK.
  • Is risk management different in the banking industry?
  • Risk management in the retail industry
  • Internal and external factors affecting industrial risk management
  • The impact of rapidly advancing information technology on industrial risk management: A case study if the automobile industry
  • Big data analytics and risk management for improving business operations
  • Risk management in the aviation industry
  • Human factors affecting industrial risk management
  • Industrial risk management in rural part of the UK.
  • The impact of risk management on production decisions
  • How can firms proactively manage supply chain risk?
  • Critical success factors in supply chain risk management in industrial firms in the UK

Logistics is the management of the flow of goods, information and other resources, including energy and people, between the point of origin and the point of consumption. The aim is usually to meet the requirements of consumers. To achieve its goals, logistics involves the integration of information, transportation, inventory, warehousing, material-handling, and packaging. Operations management dissertation topics for your logistics management dissertation could include:

  • Is the rise of intermodal international logistics affecting the operations of manufacturing companies?
  • Transport and logistics
  • Evaluation of the logistics operations carried out within manufacturing organisations
  • The logistic industry and corporate social responsibility: A closer look.
  • The impact of recent improvements in information technology on the logistics industry.
  • Principles of logistic management: an evaluation in a practical environment using Amazon as a case study
  • Anticipatory logistics on supply chain management.
  • Logistics management as a competitive advantage: A comparative analysis of Tesco and Asda
  • Value chain strategy of the logistic industry in the UK.
  • Optimising third party logistics using Big Data
  • Vehicle route optimisation in London
  • Decision-support systems to tackle the challenges of last mile logistics
  • Last mile logistics for the delivery of fresh fruits and vegetables in cities

Manufacturing strategy is a functional strategy, which means that manufacturing objectives should be derived from business objectives, and then manufacturing policies developed to address these objectives. Supply chain management (SCM) is the combination of art and science that goes into improving the way a company finds the raw components it needs to make a product or service and deliver it to customers. Possible topics for your operations dissertation are:

  • Is manufacturing strategy the key to business success?
  • Manufacturing strategies of automobile OEMs in China
  • Comparing the manufacturing strategies of automobile OEMs in China and the UK
  • A case study of Boeing’s manufacturing strategy
  • How Dell changed the computer world with its supply chain strategy: A retrospective case study
  • Combining environmental management with supply chain management: A case study on BMW
  • Examining continuous production as a manufacturing strategy in the pharmaceutical industry
  • E-supply chain management: An examination of the use of technology to build superior supply chains
  • ERP: A boon to supply chain strategy?
  • The impact of information technology on manufacturing strategy
  • Using information technology to support an integrated supply chain strategy
  • The potential of the Cloud for enhancing manufacturing strategy
  • Using an agile supply chain strategy to support supply chain performance
  • The impact of manufacturing flexibility on financial performance in the fashion industry

Total Quality Management Dissertation Topics

Total Quality Management (TQM) is a business management strategy aimed at embedding awareness of quality in all organisational processes. TQM has been widely used in manufacturing, education, call centres, government and service industries, as well as NASA space and science programs. If you are looking at the area of Total Quality Management for your operations dissertation, the following topics may be useful:

  • Is Total Quality Management enough for competitive advantage?
  • Can TQM be a factor of sustainable competitive advantage for SME organisations?
  • Evolution of quality: First fifty years of production and operations management in the UK
  • Implementation of Total Quality Management: an empirical study of UK manufacturing firms.
  • Total Quality Management and customer satisfaction in homebuilding.
  • The application of Total Quality Management in construction field operations.
  • The impact of TQM on innovation
  • TQM: Theory and the practical implementation in the UK.
  • Creating synergies between TQM and information technology.
  • To what extent can TQM be applied in the public sector?
  • Using Quality Management to develop excellence in UK’s third sector
  • Barriers to the implementation of the European Foundation for Quality Management (EFQM) model in the UK

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Operations Research Center

PhD and Masters Theses

dissertation thesis on operations management

ORC THESES AND THE ORC MISSION

The theses produced at the ORC are a principle way in which the ORC achieves its mission.

Whether you are a member of our doctoral degree (PhD) program or our master’s degree (SM) program in operations research, you will write a thesis based on original, independent research conducted under the guidance of our expert faculty.

Below you will find a listing by year of the research performed by ORC students.

Theses are available on the  DSpace@MIT  online archive. If you would like to request a copy of a thesis, please contact MIT Document Services at 617.253.5650 or [email protected]

MIT Document Services owns the copyrights for all MIT student theses.

Hu, Kevin  Predicting Risk and Optimizing Resilience of Digital and Physical Supply Chains, September 2024

Johnson, Nicholas André G  Advances in Sparse and Low Rank Matrix Optimization for Machine Learning Applications, September 2024

Kim, Cheol Woo  Predictive and Prescriptive Trees for Optimization and Control Problems, September 2024

Yao, Yuanfan (Evan)  Advancements in Models and Algorithms for Management Science, September 2024

Zhai, Chen Wen (Sabrina)  Advancements in Management Science: Applications to Online Retail, Healthcare, and Non-Profit Fundraising, September 2024

Boussioux, Léonard  Multimodality: Models, Algorithms, and Applications, June 2023

Chen, Wenyu  Optimization Methods for Machine Learning under Structural Constraints, June 2023

Cummings, Kayla  Toward Microtransit: Design and Operations of Reservation-based Systems, September 2023

Digalakis, Vasileios  Analytics under Variability, Volume, and Velocity with Applications to Sustainability and Healthcare, June 2023

Gilmour, Samuel  Allocating Scarce Resources: Modeling and Optimization, June 2023

Gong, Xiaoyue  Data-Driven Decision Making in Operations Management, June 2023

Liang, Jason Cheuk Nam  Automated Data-driven Algorithm and Mechanism Design in Online Advertising Markets, June 2023

Na, Liangyuan  Optimal Decision Making for Healthcare Operations: Models and Implementation, June 2023

Susan, Fransisca  Online Combinatorial Optimization for Digital Marketplaces, June 2023

Wilde, Joshua  Analytics-Enabled Quality and Safety Management Methods for High-Stakes Manufacturing Applications, February 2023

Zhao, Renbo  New Theory and Algorithms for Convex Optimization with Non-Standard Structures, June 2023

Zheng, Andrew  Experimentation and Control in Online Platforms, June 2023

Baek, Jackie  Decision-Making Under Uncertainty: From Theory to Practice, September 2022

Coey, Christopher Daniel Lang  Interior point and outer approximation methods for conic optimization, May 2022

Cohen, Peter L.  Algorithmic Approaches to Nonparametric Causal Inference, May 2022

Cory-Wright, Ryan  Integer and Matrix Optimization: A Nonlinear Approach, May 2022

Foncea Araneda , Patricio Tomas Learning and Optimization in Modern Retail​, September 2022

Gibson, Emma  Optimizing Healthcare Delivery in Resource-Limited​, September 2022

Kapelevich, Lea  Techniques for handling nonsymmetric cones in interior point algorithms, May 2022

Lahlou Kitane, Driss  Sparsity in Machine Learning: Theory and Applications, February 2022

Li, Michael Lingzhi  Algorithms for Large-scale Data Analytics and Applications to the COVID-19 Pandemic, February 2022

Meigs, Emily  Information and Incentives in Online Platforms​, September 2022

Papalexopoulos, Theodore P.  Multi-Objective Optimization for Public Policy, May 2022

Paskov, Ivan Spassimirov  Stable Machine Learning, February 2022.

Paynter, Jonathan  Modeling Aspects of Military Readiness, May 2022

Skali Lami, Omar  Predictive and Prescriptive Analytics in Operations Management, May 2022

Sobiesk, Matthew  Machine Learning Algorithms and Applications in Health Care, February 2022

Spantidakis, Ioannis  Constrained Inventory Optimization on Complex Warehouse Networks​, September 2022

Wiberg, Holly Mika  Data-driven healthcare via constraint learning and analytics, May 2022

Xu, Qingyang  Financial and Analytic Innovations for Therapeutic Development, May 2022

Amar, Jonathan Z.  Algorithmic Advancements in the Practice of Revenue Management, February 2021.

Bandi, Hari  Improving Efficiency and Fairness in Machine Learning: a Discrete Optimization Approach, September 2021.

Delarue, Arthur  Optimizing School Operations, June 2021.

Hazimeh, Hussein  Sparse Learning using Discrete Optimization: Scalable Algorithms and Statistical Insights, September 2021.

Koduri, Nihal  Essays on Decision Making Under Uncertainty, June 2021.

Orfanoudaki, Agni  Novel Machine Learning Algorithms for Personalized Medicine and Insurance, June 2021.

Paulson, Elisabeth  Healthy Food Access and Consumption: Informing Interventions Through Analytics, September 2021.

Renegar, Nicholas  Predictive Analytics and Machine Learning for the Risk-Based Management of Agricultural Supply Chains, September 2021.

Sinha, Deeksha  Optimization for Online Platforms, February 2021.

Berk, Lauren  New Optimization Approaches to Matrix Factorization Problems with Connections to Natural Language Processing, June 2020.

Chodrow, Philip S.  Structure, Dynamics, and Inference in Networks, September 2020.

Cohen-Hillel, Tamar  Past Price and Trend Effects in Promotion Planning; from Prediction to Prescription, September 2020.

Gaudio, Julia  Investigations in Applied Probability and High-Dimensional Statistics, June 2020.

Hu, Michael  Leveraging Data Analytics to Improve Outpatient Healthcare Operations, February 2020.

Hunter, David  New Approaches to Maximizing Influence in Large-Scale Social Networks, February 2020.

Lamperski, Jourdain Bernard  Structural and Algorithmic Aspects of Linear Inequality Systems, September 2020.

Lu, Jing  Probabilistic Models and Optimization Algorithms for Large-scale Transportation Problems, February 2020.

Pauphilet, Jean  Algorithmic Advancements in Discrete Optimization Applications to Machine Learning and Healthcare Operations, June 2020.

Singhvi, Divya  Data-Driven Decision Making in Online and Offine Retail, September 2020.

Singhvi, Somya  Improving Farmers’ and Consumers’ Welfare in Agricultural Supply Chains via Data-driven Analytics and Modeling: From Theory to Practice, September 2020.

Sturt, Bradley Eli  Dynamic Optimization in the Age of Big Data, June 2020.

Wang, Li  Online and Offline Learning in Operations, September 2020.

Wang, Yuchen  Interpretable Machine Learning Methods with Applications to Health Care, June 2020.

Yan, Julia  From Data to Decisions in Urban Transit and Logistics, June 2020.

Zhang, Kevin  Real-Time Calibration of Large-Scale Traffic Simulators: Achieving Efficiency Through the Use of Analytical Models, September 2020.

Baardman, Lennart  Analytics in Promotional Pricing and Advertising, June 2019.

Beeler, Michael Francis  Inference and Decision Models for Regulatory and Business Challenges in Low-Income Countries, September 2019.

Biggs, Max  Prescriptive Analytics in Operations Problems: a Tree Ensemble Approach, September 2019.

Burq, Maximilien  Dynamic Matching Algorithms, February, 2019.

Chen, Louis Lester  Distributionally Robust Optimization with Marginals: Theory and Applications, September 2019.

Fields, Evan  Demand Uncensored: Inferring Demand for Car-Sharing Mobility Services Using Data-Driven and Simulation-Based Techniques, February, 2019.

Hariss, Rim  Data-driven Optimization with Behavioral Considerations: Applications to Pricing, September 2019.

Lu, Haihao  Large-Scale Optimization Methods for Data-Science Applications, June 2019.

Martin, Sebastien  The Edge of Large-Scale Optimization in Transportation and Machine Learning, June 2019.

McCord, Christopher George  Data-Driven Dynamic Optimization with Auxiliary Covariates, June 2019.

Mellou, Konstantina  Resource Scheduling and Optimization in Dynamic and Complex Transportation Settings, June 2019.

Mundru, Nishanth  Predictive and Prescriptive Methods in Operations Research and Machine Learning: An Optimization Approach, June 2019.

Nambiar, Mila  Data-driven Pricing and Inventory Management with Applications in Fashion Retail, September 2019.

Ng, Yee Sian  Advances in Data-Driven Models for Transportation, June 2019.

Pawlowski, Colin  Machine Learning for Problems with Missing and Uncertain Data with Applications to Personalized Medicine, June 2019.

Tay, Joel  Integrated Robust and Adaptive Methods in the Heating Oil Industry, February, 2019.

Zadik, Ilias  Computational and Statistical Challenges in High Dimensional Statistical Models, September 2019.

Amjad, Muhammad Jehangir  Sequential Data Inference via Matrix Estimation: Causal Inference, Cricket and Retail, September 2018.

Chen, Chongli Daniel  Operations Management in a Large Online Retailer: Inventory, Scheduling and Picking, September 2018.

Copenhaver, Martin Steven  Sparsity and robustness in modern statistical estimation, June 2018.

Dunn, Jack William  Optimal Trees for Prediction and Prescription, June 2018.

Galle, Virgile  Optimization Models and Methods for Storage Yard Operations in Maritime Container Terminals, February 2018.

Goh, Chong Yang  Learning with Structured Decision Constraints, June 2018.

Goh, Siong Thye  Machine Learning Approaches to Challenging Problems: Interpretable Imbalanced Classification, Interpretable Density Estimation, and Causal Inference, June 2018.

Gutin, Eli  Practical Applications of Large-Scale Stochastic Control for Learning and Optimization, September 2018.

Huchette, Joseph Andrew  Advanced mixed-integer programming formulations: Methodology, computation, and application, June 2018.

Li, Andrew A.  Algorithms for Large-Scale Personalization, June 2018.

Ma, Will (Wei)  Dynamic, Data-driven Decision-making in Revenue Management, September 2018.

Owen, Zachary Davis Owen  Revenue Management and Learning in Systems of Reusable Resources, June 2018.

Papush, Anna  Data-Driven Methods for Personalized Product Recommendation Systems, February 2018.

Pixton, Clark  Operational Decisions and Learning for Multiproduct Retail, June 2018.

Tracà, Stefano  Regulating exploration in multi-armed bandit problems with time patterns and dying arms, June 2018.

Udwani, Rajan  Vignettes on Robust Combinatorial Optimization, September 2018.

Wang, Shujing  Improving Behavioral Decision Making in Operations and Food Safety Management, September 2018.

Zhuo, Ying Daisy  New Algorithms in Machine Learning with Applications in Personalized Medicine, June 2018.

Aouad, Mohammed  Revenue Management in Face of Choice Heterogeneity, September 2017.

Cheung, Wang Chi  Data-driven Algorithms for Operational Problems, February 2017.

Eschenfeldt, Patrick Clark  Multiserver Queueing Systems in Heavy Traffic, February 2017.

Flajolet, Arthur  Adaptive Optimization Problems under Uncertainty with Limited Feedback, June 2017.

Gupta, Swati  Combinatorial Structures in Online and Convex Optimization, June 2017.

Korolko, Nikita  A Robust Optimization Approach to Online Problems, June 2017.

Kung, Jerry Lai  An Analytics Approach to Problems in Health Care, June 2017.

Lubin, Miles  Mixed-Integer Convex Optimization: Outer Approximation Algorithms and Modeling Power, September 2017.

Marks, Christopher E.  Analytic Search Methods in Online Social Networks, June 2017.

Thraves Cortés-Monroy, Charles Mark  New Applications in Revenue Management, June 2017.

Weinstein, Alexander Michael  From Data to Decisions in Healthcare: An Optimization Perspective, June 2017.

Yan, Chiwei  Airline Scheduling and Air Traffic Control: Incorporating Passenger and Airline Preferences and Uncertainty, September 2017.

Dunning, Iain  Robert Advances in Robust and Adaptive Optimization: Algorithms, Software, and Insights, June 2016.

Grigas, Paul  Methods for Convex Optimization and Statistical Learning, September 2016.

Misic, Velibor  V. Data, Models and Decisions for Large-Scale Stochastic Optimization Problem, June 2016.

Remorov, Alexander  Dynamic Trading and Behavioral Finance, June 2016.

Shaposhnik, Yaron  Exploration vs. Exploitation: Reducing Uncertainty in Operational Problems, September 2016.

Shi, Peng  Prediction and Optimization in School Choice, June 2016.

Wang, He  Dynamic Learning and Optimization for Operations Management Problems, June 2016.

Youssef, Nataly  Stochastic Analysis via Robust Optimization, February 2016.

Yuan, Rong  Velocity-based Storage and Stowage Decisions in a Semi-automated Fulfillment System, September 2016.

Bisias, Dimitrios  Applications of Optimal Portfolio Management, September 2015.

Calmon, Andre du Pin  Reverse Logistics for Consumer Electronics: Forecasting Failures, Managing Inventory, and Matching Warranties, June 2015.

Cohen, Maxime C.  Pricing for Retail, Social Networks and Green Technologies, September 2015.

Fagnan, David Erik  Analytics for Financing Drug Development, June 2015.

Johnson, Kris  Analytics for Online Markets, June 2015.

Kallus, Nathan  From Data to Decisions Through New Interfaces Between Optimization and Statistics, June 2015.

King, Angela  Regression under a Modern Optimization Lens, June 2015.

Letham, Benjamin  Statistical Learning for Decision Making: Interpretability, Uncertainty, and Inference, June 2015.

Lin, Maokai   Optimization and Equilibrium in Dynamic Networks and Applications in Traffic Systems, February 2015.

Silberholz, John  Analytics for Improved Cancer Screening and Treatment, September 2015.

Wang, Hai  Design and Operation of a Last Mile Transportation System, June 2015.

Anderson, Ross Michael   Stochastic Models and Data Driven Simulations for Healthcare Operations, June 2014.

Elmachtoub, Adam Nabil   New Approaches for Integrating Revenue and Supply Chain Management, September, 2014.

Gupta, Vishal   Data-Driven Models for Uncertainty and Behavior, June 2014.

Leung, Ngai-Hang Zachary   Three Essays in Operations Management, September, 2014.

Zhu, Zhe   New Statistical Techniques for Designing Future Generation Retirement and Insurance Solutions, September, 2014.

Bandi, Chaithanya   Tractable Stochastic Analysis in High Dimensions via Robust Optimization, June 2013.

Chiraphadhanakul, Virot   Large-Scale Analytics and Optimization in Urban Transportation: Improving Public Transit and Its Integration with Vehicle-Sharing Services, June 2013.

Figueroa, Cristian Ricardo  Emission Regulations in the Electricity Market: An Analysis from Consumers, Producers and Central Planner Perspectives, September 2013.

Fontana, Matthew William  Optimal Routes for Electric Vehicles Facing Uncertainty, Congestion, and Energy Constraints, September 2013.

Keller, Philipp Wilhelm   Tractable Multi-product Pricing under Discrete Choice Models, June 2013.

Lu, Xin   Online Optimization Problems, June 2013.

Monsch, Matthieu  Large Scale Prediction Models and Algorithms, September 2013.

O’Hair, Allison Kelly   Personalized Diabetes Management, June 2013.

Simchi-Levi, David   Effectiveness and Design of Sparse Process Flexibilities, June 2013.

Uichanco, Joline Ann Villaranda  Data-driven Optimization and Analytics for Operations Management Applications, September 2013.

Acimovic, Jason Andrew    Lowering Outbound Shipping Costs in an Online Retail Environment by Making Better Fulfillment and Replenishment Decisions, September 2012.

Chang, Allison An    Integer Optimization Methods for Machine Learning, June 2012.

Frankovich, Michael Joseph  Air Traffic Flow Management at Airports: A Unified Optimization Approach, September 2012.

Gupta, Shubham    A Tractable Optimization Framework for Air Traffic Flow Management Addressing Fairness, Collaboration and Stochasticity, June 2012.

Lobel, Ruben  Pricing and Incentive Design in Applications of Green Technology Subsidies and Revenue Management, June 2012.

Shi, Cong  Provably Near-Optimal Algorithms for Multi-stage Stochastic Optimization Models in Operations Management, September 2012.

Sun, Wei  Price of Anarchy in Supply Chains, Congested Systems and Joint Ventures, September 2012.

Telha Cornejo, Claudio    Algorithms and Hardness Results for the Jump Number Problem, the Joint Replenishment Problem, and the Optimal Clustering of Frequency-Constrained Maintenance Jobs, February 2012.

Teytelman, Anna  Modeling Reduction of Pandemic Influenza Using Pharmaceutical and Non-Pharmaceutical Interventions in a Heterogeneous Population, June 2012.

Zhong, Yuan  Resource Allocation in Stochastic Processing Networks: Performance and Scaling, September 2012.

Becker, Adrian Bernard Druke    Decomposition Methods for Large Scale Stochastic and Robust Optimization Problems, September 2011.

Chhaochhria, Pallav  Forecast-driven Tactical Planning Models for Manufacturing Systems, September 2011.

Dunkel, Juliane    The Gomory-Chv´atal Closure: Polyhedrality, Complexity, and Extensions, June 2011.

Goldberg, David Alan    Large Scale Queueing Systems: Asymptotics and Insights, June 2011.

Kluberg, Lionel J.    Competition and Loss of Eciency: From Electricity Markets to Pollution Control, June 2011.

Michalek Pfeil, Diana  Optimization of Airport Terminal-Area Air Traffic Operations under Uncertain Weather Conditions, June 2011.

Mittal, Shashi  Algorithms for Discrete, Non-Linear and Robust Optimization Problems with Applications in Scheduling and Service Operations, September 2011.

Rikun, Alexander Anatolyevich  Applications of Robust Optimization to Queueing and Inventory Systems, June 2011.

Sun, Xu Andy  Advances in Electric Power Systems: Robustness, Adaptability, and Fairness, September 2011.

Trichakis, Nikolaos K.  Fairness in Operations: From Theory to Practice, June 2011.

Williams, Gareth Pierce  Dynamic Order Allocation for Make-To-Order Manufacturing Networks: An Industrial Case Study of Optimization Under Uncertainty, June 2011.

Zarybnisky, Eric Jack  Maintenance Scheduling for Modular Systems–Models and Algorithms, September 2011.

Bimpikis, Kostas  Strategic Delay and Information Exchange in Endogenous Social Networks, September 2010. 

Doan, Xuan Vinh  Optimization under Moment, Robust, and Data-Driven Models of Uncertainty, February 2010. 

Fearing, Douglas  The Case for Coordination: Equity, Efficiency and Passenger Impacts in Air Traffic Flow Management, Septmeber 2010. 

Iancu, Dan Andrei  Adaptive Robust Optimization with Applications in Inventory and Revenue Management, Septmeber 2010. 

Menjoge, Rajiv  New Procedures for Visualizing Data and Diagnosing Regression Models, June 2010. 

Weber, Theophane  Correlation Decay and Decentralized Optimization in Graphical Models, February 2010. 

Harsha, Pavithra  – Mitigating Airport Congestion: Market Mechanisms and Airline Response Models, February 2009.

Lobel, Ilan  – Social Networks: Rational Learning and Information Aggregation, September 2009.

Lu, Ye –  Essays on Inventory, Pricing and Financial Trading Strategies, September 2009.

Nguyen, Tri-Dung  – Robust Estimation, Regression and Ranking with Applications in Portfolio Optimization, June 2009.

Nigmatulina, Karima Robert  – Modeling and Responding to Pandemic Influenza: Importance of Population Distributional Attributes and Non-Pharmaceutical Interventions, June 2009.

Stratila, Dan  – Combinatorial Optimization Problems with Concave Costs, February 2009.

Bjarnadottir, Margret  – Data-Driven Approach to Health Care: Applications Using Claims Data, September 2008.

Chandler, Lincoln J.  – The Minority Achievement Gap in a Suburban School District, June 2008.

Czerwinski, David  – Quality of Care and Drug Surveillance: A Data-Driven Perspective, June 2008.

Mamani, Hamed  – Supply Chain Coordination and Influenza Vaccination, September 2008.

Pei, Pamela  – Towards a Unified Theory of Procurement Contract Design: Production Flexibility, Spot Market Trading, and Contract Structure, June 2008.

Rogozhnikov, Dmitriy  – Algorithmic issues in queueing systems and combinatorial counting problems, September 2008.

Shah, Premal  – Analysis of Employee Stock Options and Guaranteed Withdrawal Benefits for Life, September 2008.

Uhan, Nelson  – Algorithmic and Game-Theoretic Perspectives on Scheduling, June 2008.

Chan, Timothy  – Optimization under Uncertainty in Radiation Therapy, June 2007.

Goundan, Pranava  – Essays on Optimization and Incentive Contracts, June 2007.

Kaminski, Kathryn  – General Superposition Strategies and Asset Allocation, June 2007.

Le-Tallec, Yann  – Robust, Risk-Sensitive, and Data-driven Control of Markov Decision Processes, February 2007.

Shum, Wanhang  – Effective Contracts in Supply Chains, June 2007.

Simon, Carine  – Dynamic Pricing with Demand Learning under Competition, September 2007.

Sivaraman, Raghavendran  – Capacity Expansion in Contemporary Telecommunication Networks, September 2007.

Teo, Kwong Meng  – Nonconvex Robust Optimization, June 2007.

Adida, Elodie  – Dynamic Pricing and Inventory Control with no Backorders under Uncertainty and Competition, June 2006.

Gupta, Shobhit  – Buyout Prices in Online Auctions, June 2006.

McCann, Lauren  – Robust Model Selection and Outlier Detection in Linear Regression, June 2006.

Meyers, Carol  – Network Flow Problems and Congestion Games: Complexity and Approximation Results, June 2006.

Nogueira, Alexandre  – Studies Integrating Geometry, Probability, and Optimization Under Convexity, June 2006.

Roels, Guillaume  – Information and Decentralization in Inventory, Supply Chain, and Transportation Systems, June 2006.

Wagner, Michael  – Online Optimization in Routing and Scheduling, June 2006.

Yee, Michael  – Inferring Noncompensatory Choice Heuristics, June 2006.

Aghassi, Michele Leslie – Robust Optimization, Game Theory, and Variational Inequalities, September 2005.

Bompadre, Agustin – Three Essays on Sequencing and Routing Problems, June 2005.

Martonosi, Susan Elizabeth – An Operations Research Approach to Aviation Security, September 2005.

Xu, Ping Josephine – Order Fulfillment in Online Retailing: What Goes Where, September 2005.

Kang, Laura Sumi  – Degradable Airline Scheduling: an Approach to Improve Operational Robustness and Differentiate Service Quality, February 2004.

Correa, José Rafael  – Approximation Algorithms for Packing and Scheduling Problems, June 2004.

Craft, David  – Local Energy Management Through Mathematical Modeling and Optimization, September 2004.

Farahat, Amr  – Tractability Through Approximation: A Study of Two Discrete Optimization Problems, September 2004.

Lesnaia, Ekaterina  – Optimizing Safety Stock Placement in General Network Supply Chains, September 2004.

Martínez-de-Albéniz, Victor  – Portfolio Strategies in Supply Contracts, June 2004.

Sim, Melvyn  – Robust Optimization, June 2004.

Sood, Anshul  – Competitive Multi-period Pricing for Perishable Products, June 2004.

Stier-Moses, Nicolás E. –  Selfish Versus Coordinated Routing in Network Games, June 2004.

Zaretsky, Marina  – Essays on Variational Inequalities and Competitive Supply Chain Models, September 2004.

Beil, Damian  Two Topics in Online Auctions, June 2003.

Chen, Xin  Coordinating Inventory Control and Pricing Strategies, June 2003.

De boer, Sanne  Advances in Airline Revenue Management and Pricing, June 2003.

Hawkins, Jeffrey  A Largrangian Decomposition Approach to Weakly Coupled Dynamic Optimization Problems and its Applications, June 2003.

Kumar, Mahesh  Error-based Clustering and Its Application to Sales Forecasting in Retail Merchandising, September 2003.          

Mersereau, Adam  Dynamic Optimization for Adaptive Customized Marketing, September 2003.    

Shioda, Romy  Integer Optimization in Data Mining, June 2003.

Sun, Peng  Constructing Learning Models from Data: The Dynamic Catalog Mailing Problem, June 2003. 

Wu, Joseph T.  Optimization of Influenza Vaccine Strain Selection, June 2003.

Bossert, John  Modeling and Solving Variations of the Network Loading Problem, September 2002.

Cohn, Amy E.  Composite-Variable Modeling for Large-Scale Problems in Transportation and Logistics, June 2002. 

Kachani, Soulaymane  Dynamic Travel Time Models for Pricing and Route Guidance: A Fluid Dynamics Approach, June 2002.

Muharremoglu, Alp  A New Perspective on Multi-Echelon Inventory Systems, September 2002.

Ordonez, Fernando  On the Explanatory Value of Condition Numbers for Convex Optimization: Theoretical Issues and Computational Experience, September 2002.

Pachamanova, Dessislava A.  A Robust Optimization Approach to Finance, June 2002. 

Rifkin, Ryan  Everything Old is New Again: A Fresh Look at Historical Approaches in Machine Learning, September 2002.

Sharma, Dushyant  Cyclic Exchange and Related Neighborhood Structures for Combinatorial Optimization Problems, June 2002.

Ergun, Ozlem  New Neighborhood Search Algorithms Based on Exponentially Large Neighborhoods, June 2001. 

Haugh, Martin B.  Essays in Financial Engineering, September 2001. 

Humair, Salal  Yield Management for Telecommunication Networks: Defining a New Landscape, February 2001. 

Lauprete, Geoffrey J.  Portfolio Risk Minimization under Departures from Normality, September 2001

Armacost, Andrew P.  Composite Variable Formulation for Express Shipment Service Network Design, September 2000. 

Chew, Elaine  Towards a Mathematical Model of Tonality, February 2000. 

Demir, Ramazan  An Approximate Dynamic Programming Approach to Discrete Optimization, June 2000. 

Gallien, Jérémie  Optimization-Based Auctions and Stochastic Assembly Replenishment Policies for Industrial Procurement, June 2000. 

Hollywood, John S.  Performance Evaluation and Optimization Models for Processing Networks with Queue-Dependent Production Quantities, June 2000. 

Hsu, Leon C.  The Bottleneck Phenomenon in Scheduling of Transportation Systems, February 2000. 

Taylor, Jonathan D.  Essays on the Empirical Properties of Stock and Mutual Fund Returns, June 2000.

Croxton, Keely L.,  Modeling and Solving Network Flow Problems with Piecewise Linear Costs, with Applications in Supply Chain Management, September 1999. 

Epelman, Marina,  Complexity, Condition Numbers and Conic Linear Systems, June 1999.    

Hall, William,  Efficient Capacity Allocation in a Collaborative Air Transportation System, June 1999.   

Nemec, Joseph,  Diffusion and Decompostition Approximations of Stochastic Models of Muolticlass Processing Networks, February 1999.   

Popescu, Ioana,  Application of Optimization in Probability, finance and Revenue Management, June 1999.   

Sethuraman, Jayachandran,  Scheduling Multiclass Queueing Networks and Job Shops using Fluid and Semidefinite Relaxation, September 1999. 

Sokol, Joel,  Optimizing Paint Blocking in an Automobile Assembly Line: An Application of Specialized TSP1s, June 1999.

Chryssikou, Efthalia,  Multiperiod Portfolio Optimization in the Presence of Transaction Costs, June 1998.   

D’Amato, Rebecca,  Management of Antiretroviral Therapy for HIV Infection: Modeling When to Change Therapy, June 1998.    

Epstein, Rafael,  Linear Programming and Capacitated Network Loading, February 1998.   

Gamarnik, David,  Stability and Performance of Multiclass Queueing Networks, February 1998. 

Hauksson, Arni,  The Commercialization of University Research Discoveries: Are University Technology Transfer Offices Stimulating the Process? February 1998. 

Kniker, Timothy,  Itinerary-Based Airline Fleet Assignment, June 1998.

Osuna, Edgar,  Support Vector Machines: Training and Applications, June 1998.   

Ruark, John,  Implementing Reusable Solvers: An Object-Oriented Framework for Operations Research Algorithms, June 1998.     

Toktay, Latife Beril,  Analysis of a Production-Inventory System under a Stationary Demand Process and Forecast Updates, June 1998. 

Wang, Yi,  Modeling and Solving Single and Multiple Facility Network Restoration Problems, June 1998.

Christodouleas, James,  Solution Methods for Multiprocessor Network Scheduling Problems, with Application to Railroad Operations” June 1997. 

Nunez Araya, Manuel A.,  Condition Numbers and Properties of Central Trajectories in Convex Programming, September 1997.    

Patterson, Sarah Stock,  Dynamic Flow Management Problems in Air Transportation, June 1997.

Aggarwal, Charu C.,  Faster Algorithms for Some Network Flow Problems, June 1996.   

Bonvik, Asbjoern M.,  Performance Analysis of Manufacturing Systems Under Hybrid Control Policies, June 1996. 

Fang, Yue,  Volatility Modeling and Estimation of High-Frequency Data with Gaussian Noise, June, 1996.   

Markowitz, David M.,  A Unified Approach to Single Machine Scheduling: Heavy Traffic Analysis of Dynamic Cyclic Policies, June 1996.   

Pinker, Edieal J.,  Models of Flexible Workforce Management in Uncertain Environments, June 1996.    

Miller, Michael G.,  Optimal Allocation of Resources to Clinical Trials, September 1996.  

Rimm-Kaufman, Alan P.,  Risk Mitigation Models for a Japanese Railroad,” June 1996.   

Teo, Chung-Piaw,  Constructing Approximation Algorithms Via Linear Programming Relaxations: Primal Dual and Randomized Rounding Techniques, September 1996.  

Zenios, Stefanos A.,  Health Care Applications of Optimal Control Theory, June 1996.

Burman, Mitchell H.,  New Results in Flow Line Analysis, June 1995.   

Chi, Zhihang,  Airline Yield Management in a Dynamic Network Environment, February 1995. 

Luo, Xiao-Dong,  Continuous Linear Programming: Theory, Algorithms and Applications, September 1995.     

Malone, Kerry M.,  Dynamic Queueing Systems: Behavior and Approximations for Individual Queues and for Networks, June 1995.   

Milner, Joseph,  Dynamic Slot Allocation with Airline Participation, June 1995. 

Mourtzinou, Georgia,  An Axiomatic Approach to Queueing Systems, June 1995.   

Nino-Mora, Jose,  Optimal Resource Allocation in a Dynamic and Stochastic Environment: A Mathematical Programming Approach, June 1995.   

Raghavan, S.,  Formulations and Algorithms for Network Design Problems with Connectivity Requirements, February 1995.   

Ricard, Michael J.,  Optimization of Queueing Networks: An Optimal Control Approach, June 1995.     

Rubio, Rodrigo,  Dynamic-Stochastic Vehicle Routing and Inventory Problem, September 1995.   

Shumsky, Robert A.,  Dynamic Statistical Models for the Prediction of Aircraft Take-off Times, September 1995.   

Theodosopoulos, Theodore V.,  Stochastic Models for Global Optimization, June 1995.

Huang, Yen-Chin,  Empirical Distribution Function Statistics, Speed of Convergence, and p-Variation, June 1994.  

Ingolfsson, Armann,  Earthquake Forecasts: The Life-Saving Potential of Last-Minute Warnings, September 1994.   

Klaassen, Pieter ,  Stochastic Programming Models for Interest-Rate Risk Management,” June 1994. 

Ramakrishnan, V.S.,  On Cuts and Clutters, September 1994.   

Staats, Richard C.,   Integration of Predictive Routing Information with Dynamic Traffic Signal Control, September 1994.

Mondschein, Susana V.,  Optimal Sales Strategies in Stochastic, Dynamic Environments, June 1993.   

Srivatsan, Narayanan,  Synthesis of Optimal Policies for Stochastic Manufacturing Systems, September 1993.

Athaide, Christopher,  Capacity Allocation and Safety Stocks in Manufacturing Systems, February 1992.   

Chevalier, Philippe,  Two Topics in Multistage Manufacturing Systems, June 1992. 

Gopalan, Ramasubramanian,  Exploiting Process Flexibility in Metal Forming Operations, September 1992.   

Hall, Susan A.,  New Directions in Queue Inference for Management Implementation, June 1992. 

Kodialam, Muralidharan,  The O-D Shortest Path Problem and Connectivity Problems on Periodic Graphs, February 1992. 

Pappu, Suguna,  Production Planning with Due-Date Constraints, June 1992.   

Polychronopoulos, George,  Stochastic and Dynamic Shortest Distance Problems, June 1992.   

Veatch, Michael H.,  Queueing Control Problems for Production/Inventory Systems, September 1992.   

Vranas, Peter B.,  The Multi-Airport Ground-Holding Problem in Air Traffic Control, June 1992. 

Abe, Makoto,  A Marketing Mix Model Developed From Single Source Data: A Semiparametric Approach, September 1991.     

Bai, Sherman X. , Scheduling Manufacturing Systems with Work-in-Process Inventory Control, September 1991. 

Ballman, Karla V.,  Cost-Effectiveness of Smart Traffic Signals, June 1991. 

Gau, Shiow-Hwa,  Server Management in Queueing System, February 1991. 

Ou, Jihong,  Dynamic Scheduling of Queueing Networks, September 1991.     

Richetta, Octavio,  Ground Holding Strategies for Air Traffic Control Under Uncertainty, June 1991.     

Talluri, Kalyan T.,  Issues in the Design and Analysis of Survivable Networks, September 1991.   

Van Ryzin, Garrett,  Stochastic and Dynamic Vehicle Routing in Euclidean Service Regions, June 1991.     

Venkatakrishnan, C.S.,  Analysis and Optimization of Terminal Area Air Traffic Control Operations, February 1991.

Caulkins, Jonathan P.,  The Distribution and Consumption of Illicit Drugs: Some Mathematical Models and Their Policy Implications, June 1990. 

Goemans, Michel X.,  Analysis of Linear Programming Relaxations for a Class Connectivity Problems, September 1990. 

Nakazato, Daisuke,  Transient Distributional Results in Queues with Applications to Queueing Networks, September 1990. 

Tan, Kok-Choon,  Newton’s Method for Parametric Center Problems, June 1990. 

Zhang, Hongtao,  Cyclic Scheduling in a Stochastic Environment, June 1990.

Eckstein, Jonathan –  Splitting Methods for Monotone Operators With Applications to Parallel Optimization, September 1989

Hall, Leslie A. –  Two Topics in Discrete Optimization: Polyhedral Structure of Capacitated Trees and Approximation Algorithms for Scheduling, September 1989

Luo, Zhi-Quan (Tom) – Communication Complexity of Some Problems in Distributed Computation, September 1989

Webb, Ian R. –  Period and Phase of Customer Replenishment: A New Approach to Inventory / Routing Problem, June 1989

Abraham, Magid M. –  Retailer Forward Buying of Consumer Goods, June 1988

Bertsimas, Dimitris J. –  Probabilistic Combinatorial Optimization Problems, September 1988

Boyd, E. Andrew –  Optimization Problems on Greedoids, February 1988

Thompson, Paul M. –  Local Search Algorithms for Vehicle Routing and Other Combinatorial Problems, June 1988

Wagner, Janet M. –  Stochastic Programming and Recourse Applied to Groundwater Quality Management, June 1988

Gordon, Ethel-Sherry –  New Problems in Queues: Social Injustice and Server Production Management, June 1987

Marujo, Ernesto –  Dynamic Allocation of Machines to Product Families in the Presence of Setup Delays, September 1987

Qiu, Yuping –  Sensitivity Analysis for Variational Inequalities, June 1987

Chapman, Paul T. –  Decision Models for Multistage Production Planning, February 1986

Cox, Jr., Louis A. –  Mathematical Foundations of Risk Measurement, June 1986

Hiller, Randall –  Stochastic Programming Approximation Methods with Applications to Multistage Production Planning, September 1986

Leung, Janny M. Y. –  Polyhedral Structure of Capacitated Fixed Charge Problems and A Problem in Delivery Route Planning, February 1986

MacDonald, Bruce –  A Generalized Model for the Prediction of Controller Intervention Rates in the En Route Air Traffic Control System, September 1986

Schaack, Christian –  Cutoff Priority Queues: A Methodology for Police Patrol Dispatching, February 1986

Tseng, Paul –  Relaxation Methods for Monotopic Programming Problems, June 1986

Yee, James R. –  Distributed Routing and Flow Control Algorithms for Communications Networks, February 1986

Bienstock, Daniel –  Large-Scale Reliability, September 1985

Haimovich, Mordecai –  Large Scale Geometric Location Problems, February 1985

Hammond, Janice H. –  Solving Asymmetric Variational Inequality Problems and Systems of Equations with Generalized Nonlinear Programming Algorithms, February 1985

Lo Faso, Anthony J. –  On the Optimal Allocation of Prison Space, February 1985

Lamar, Bruce W. –  Network Design Algorithms with Applications to Freight Transportation, September 1985

Minkoff, Alan S. –  Real-Time Dispatching of Delivery Vehicles, September 1985

Vande Vate, John H. –  The Linear Matroid Parity Problem, February 1985

Batta, Rajan –  Facility Location in the Presence of Congestion, September 1984

Kaplan, Edward H. –  Managing the Demand for Public Housing, June 1984

Luque, Fernando Javier Rodilla –  Nonlinear Proximal Point Algorithms, June 1984

Matsuo, Hirofumi –  The Capacitated Lot Size Problems, June 1984

Bier, Vicki M. –  A Measure of Uncertainty Importance for Components in Fault Trees, February 1983

Constantopoulos, Panagiotis C. –  Computer-Assisted Control of Electricity Usage By Consumers, June 1983

D’Aversa, Joseph Salvatore –  Numerical Methods for Group Theoretic Integer Programming, June 1983

Huang, Kuan-Tsae –  Query Optimization in Distributed Databases, February 1983

Chandru, Vijaya –  Complexity of the Super-Group Approach to Integer Programming, September 1982

Chiu, Samuel S. –  Location Problems in the Presence of Queuing, February 1982

Kalish, Shlomo –  Control Variables in Models of Innovation Diffusion, June 1982

Sarkar, Debashish –  Energy Economics and Optimization: A Synthesis, February 1982

Roth, Emily J. –  An Investigation of the Transient Behavior of Stationary Queuing Systems, June 1981

Valor-Sabatier, Josep –  Diagnostic Analysis of Inventory Systems, June 1981

Sadiq, Ghazala –  Facility Location Problems in Spaces with Discontinuities in the Travel Medium, June 1981

Sempolinski, Dorothy –  Inverse Optimization Applied to Fixed Charge Models, February 1981

Yanasse, Horacio H. –  Aggregation and Computational Complexity of Lot Size Problems, September 1981

Livne, Zvi A. –  The Role of Time in Negotiations, September 1979.

Berman, Oded –  Dynamic Positioning of Mobile Servers on Networks, February 1978.

Modiano, Eduardo M. –  Normative Models for Optimal Seismic Design, June 1978.

Pariente, Silvia –  Mathematical Programming Approaches to Modeling Technological Change, with Applications to the Energy Sector, June 1978.

Shepardson, Wilfred B. –  A Lagrangean Relaxation Algorithm for the Two Duty Period Scheduling Problem, June 1978.

Bloom, Jeremy A. –  A Mathematical Model of Fuel Distribution in New England, September 1978.

Eriksen, Steven E. –  Policy Oriented Multi-Equation Models of U.S. Domestic Air Passenger Markets, September 1977.

Bitran, Gabriel R. –  Admissible Points and Vector Optimization: A Unified Approach, February 1975.

Cretin, Shan A. –  A Model of the Risk of Death from Myocardial Infarction, February 1975.

Mirchandani, Pitu B. –  Analysis of Stochastic Networks in Emergency Service Systems, February 1975.

Hauser, John R. –  A Normative Methodology for Predicting Consumer Response to Design Decisions: Issues, Models, Theory and Use, June 1975.

Boyle, Brian Edward –  Computer-Aided Therapeutic Diagnosis, June, 1974.

Handler, Gabriel Y. –  Minimax Network Location: Theory and Algorithms, September, 1974

Bell, David –  The Resolution of Duality Gaps in Discrete Optimization, September 1973.

Mehta, Cyrus –  Multi period Adaptive Control of the Wellhead Price of Natural Gas: A Bayesian Decision Theoretic Approach, September 1973.

Rousseau, Jean-Marc –  A Cutting Plane Method for the Fixed Cost Problem, September 1973.

Oliver, Robert M. –  The Design and Error Analysis of a Production and Inventory Control System, June, 1957.

Little, John D.C. –  Use of Storage Water in a Hydroelectric System, February 1955.

Jiang, Qingxuan  Choice Modeling and Assortment Optimization on the Transformer Model, February 2024

Robin, Arnaud  Robust Inventory Induction under Demand Uncertainty, February 2024

Seby, Jean-Baptiste Understanding Drivers of Deforestation using Games on Spatial Networks, September 2024

Wachspress, Jacob Optimizing Wildfire Suppression: A branch-and-price-and-cut approach, September 2024

Angevine, Kathryn  Multi-Modal Transit Time Prediction for E-Commerce Fulfillment Optimization and Carbon Emissions Reduction, June 2023

Benbaki, Riade  Topics in Sparsity and Compression: From High dimensional statistics to Overparametrized Neural Networks, June 2023

Luciano Rivera , Gianpaolo Data-driven Clustering for New Garment Forecasting, June 2023

Ramé, Martin  Branch-and-Price for Prescriptive Contagion Analytics, June 2023

Reubenstein, Rebecca  Equitable Community Health Worker Deployment in sub-Saharan Africa: A Modeling Framework for Stochastic Health Progression, June 2023

Siegel, Benjamin M.  Innovative Supply Chain Cyber Risk Analytics: Unsupervised Clustering and Reinforcement Learning Approaches, June 2023

Blanks, Lindsey  Operational Scheduling of Deep Space Radars for Resident Space Object Surveillance, May 2022

Groszman, Kenny  Sequential Optimization for Prospective Patient Segmentation and Content Targeting, May 2022

Guinet, Gauthier Marc Benoit  Bandit Problems under Censored Feedback​, September 2022

Humphries, Samuel S.  Analytics for Sustainable Logistics: Fuel Efficiency and Hydrogen Planning, May 2022

Niu, Yumeng  Optimal Targeting under Gender Fairness, May 2022

Slavov, Stanislav  Causal Inference: Heterogeneous Effects and Non-stationary Environments, May 2022

Wyler, Paige  Developing a Decision-Making Framework for Carbon: Incorporating Carbon into Optimized Business Objectives, May 2022

Escribe, Célia  Reducing Physician Burnout and Costs in Outpatient Healthcare Settings via Advanced Analytics, June 2021.

Georgescu, Andreea  Inventory Positioning in Modern Retail, February 2021.

Halem, Zachery M.  Financing Fusion Energy, June 2021.

Kaw, Neal  Preventing Opioid Overdose: From Prediction to Operationalization, June 2021.

Kendall, Thomas P.  Optimizing Weapon Precision, June 2021.

Killian, Daniel T.  Operational Innovations to Improve Malawi’s HIV Sample Transportation Network, June 2021.

Koch, Matthew  Air Force Crew Scheduling: An Integer Optimization Approach, June 2021.

Yuan, Matthew  An EM algorithm for Lidar deconvolution, June 2021.

Burnham, Katherine Lee  Information Fusion for an Unmanned Underwater Vehicle through Probabilistic Prediction and Optimal Matching, June 2020.

Dan, Or  Improving Prior Knowledge Assessment in Process Characterization, June 2020.

Dimaki, Georgia  Dynamic Node Clustering in Hierarchical Optical Data Center Network Architectures, September 2020.

Emschwiller, Matt V.  Understanding Neural Network Sample Complexity and Interpretable Convergence-guaranteed Deep Learning with Polynomial Regression, June 2020.

Graham, Justin W.  School Choice: A Discrete Optimization Approach, June 2020.

Liu, Jessamyn  Anomaly Detection Methods for Detecting Cyber Attacks in Industrial Control Systems, September 2020.

Lukin, Galit  Prescriptive Methods for Adaptive Learning, June 2020.

McIntyre, Colin Alex  Optimizing Inbound Freight Mode Decisions, June 2020.

Poullet, Julie  Leveraging Machine Learning to Solve the Vehicle Routing Problem with Time Windows, June 2020.

Blanks, Zachary D . A Generalized Hierarchical Approach for Data Labeling, June 2019.

Guenon des Mesnards, Nicolas  Identifying and Assessing Coordinated Influence Campaigns on Social Networks, June 2019.

Thomas, Merin  Intelligent Supplies Replenishment Process, June 2019.

Zhang, Rebecca  Interpretable Machine Learning Methods for Stroke Prediction, September 2019.

Zhu, Jessica H.  Detecting Food Safety Risks and Human Trafficking Using Interpretable Machine Learning Methods, June 2019.

Dedieu, Antoine  Sparse learning: Statistical and Optimization perspectives, June 2018.

Furtado, Jazmin D.  Applications of Healthcare Analytics in Reducing Hospitalization Days, June 2018.

Herrling, Austin Donald  Optimization of Micro-Coaxial Wire Routing in Complex Microelectronic Systems, June 2018.

Xu, Sharon  Modeling Human Dynamics and Lifestyles using Digital Traces, June 2018.

Vanden Berg, Andrew M.  Optimization-Simulation Framework to Optimize Hospital Bed Allocation in Academic Medical Centers, September 2018.

Anoun, Amine  A Data-Driven Approach to Mitigate Risk in Global Food Supply Chains, June 2017.

Candela Garza, Eduardo  Revenue Optimization for a Hotel Property with Different Market Segments: Demand Prediction, Price Selection and Capacity Allocation, September 2017.

Mariadassou, Shwetha Paramananda  Relative Performance Transparency: Effects on Sustainable Purchase and Consumption Behavior, June 2017.

Morse, Steven T.  Persistent Cascades and the Structure of Influence in a Communication Network, June 2017.

Scully, Timothy  Redesigning Liver Allocation Regions through Optimization, June 2017.

Webb, Matthew Robert  Inferring User Location from Time Series of Social Media Activity, June 2017.

Lee, Peter Alexander  Think Global, Act Local When Estimating a Sparse Precision Matrix, June 2016.

Mundell, Lee Carter  Predicting Performance Using Galvanic Skin Response, June 2016.

Rajagopalan, Krishnan  Interacting with Users in Social Networks: The Follow-back Problem, June 2016.

Saroufim, Carl Elie  Internet of Things and Anomaly Detection for the Iron Ore Mining Industry, June 2016.

Saunders, Zachary Clayton  Multi-target Tracking via Mixed Integer Optimization, June 2016.

Borjian Boroujeni, Setareh  Optimization of Yard Operations in Maritime Container Terminals, June 2015.

Hanley, Zebulon James  Delay Characterization and Prediction in Major U.S. Airline Networks, June 2015.

Harris, William Ray  Anomaly Detection Methods for Unmanned Underwater Vehicle Performance Data, June 2015.

Lepird, John R.  Multi-Objective Optimization of Next-Generation Aircraft Collision Avoidance Software, June 2015.

Rhee, Donguk  Faster Fully Polynomial Approximation Schemes for Knapsack Problems, June 2015.

Rizzo, Ludovica  Price Incentives for Online Retailers using Social Media Data, June 2015.

Rossillon, Kevin Joseph  Optimized Air Asset Scheduling Within a Joint Aerospace Operations Center (JAOC), June 2015.

Schonfeld, Daniel  Dynamic Prediction of Terminal-Area Severe Convective Weather Penetration, June 2015.

Sheth, Mallory  Predicting Mortality for Patients in Critical Care: a Univariate Flagging Approach, June 2015.

Testa, Mariapaola  Modeling and Design of Material Recovery Facilities: Genetic Algorithm Approach, June 2015.

Epstein, Christina  An Analytics Approach to Hypertension Treatment, June 2014.

Fast, Shannon M.  Pandemic Panic: A Network-based Approach to Predicting Social Response During a Disease Outbreak, June 2014.

Jernigan, Nicholas R.  Multi-modal, Multi-period, Multi-commodity Transportation: Models and Algorithms, June 2014.

Kim, Louis Y.  Estimating Network Structure and Propagation Dynamics for an Infectious Disease: Towards Eective Vaccine Allocation, June 2014.

Paynter, Jonathan L.  Optimized Border Interdiction, June 2014.

Sahyoun, Alexandre Paul  Application of Aircraft Sequencing to Minimize Departure Delays at a Busy Airport, June 2014.

Williams, Mark J  Column Generation Approaches to the Military Airlift Scheduling Problem, June 2014.

Bunting, Zachary S.  Improving Performance through Topology Management and Wireless Scheduling in Military Multi-hop Radio Networks, June 2013.

Culver, David M.    Robust Reconnaissance Asset Planning Under Uncertainty, June 2013.

Frost, Emily Anne   Robust Planning for Unmanned Underwater Vehicles, June 2013.

Kessler, John M   United States Air Force Fighter Jet Maintenance Models: Eectiveness of Index Policies, June 2013.

Lepage, Pierre-Olivier  Performance of Multiple Cabin Optimization Methods in Airline Revenue Management, June 2013.

Relyea, Stephen L.   An Analytics Approach to Designing Clinical Trials for Cancer, June 2013.

Robinson, Eric John  Coordinated Planning of Air and Space Assets: An Optimization and Learning Based Approach, June 2013.

Bradwick, Matthew E.    Belief Propagation Analysis in Two-Player Games for Peer-Influence Social Networks, June 2012.

Crimmel, Brian A.    A Priori and On-line Route Optimization for Unmanned Underwater Vehicles, June 2012.

Evans, Jane A.    Modeling Social Response to the Spread of an Infectious Disease, June 2012.

Parandehgheibi, Marzieh  Survivable Paths in Multilayer Networks, June 2012.

Wang, Hai   Approximating the Performance of a Last Mile Transportation System, June 2012.

Cates, Jacob Roy    Route Optimization Under Uncertainty for Unmanned Underwater Vehicles, June 2011.

Cho, Philip Y.    Optimal Scheduling of Fighter Aircraft Maintenance, June 2011.

Howard, Nicholas J.    Finding Optimal Strategies for Influencing Social Networks in Two Player Games, June 2011.

Boyer, Christopher A.    Statistical Methods for Forecasting and Estimating Passenger Willingness-to-Pay in Airline Revenue Management, June 2010.

Chaiwanon, Wongsakornt    Capacity Planning and Admission Control Policies for Intensive Care Units, September 2010.

Chiraphadhanakul, Virot    Routing and Scheduling Models for Robust Allocation of Slack, June 2010.

Diwan, Sarvee    Performance of Dynamic Programming Methods in Airline Revenue Management, June 2010.

Frumin, Michael S    Automatic Data for Applied Railway Management: Passenger Demand, Service Quality Measurement, and Tactical Planning on the London Overground Network, June 2010.

Gupta, Shubham    Transient Analysis of D(t)/M(t)/1 Queuing System with Applications to Computing Airport Delays, June 2010.

Herold, Thomas Michael    Asynchronous, Distributed Optimization for the Coordinated Planning of Air and Space Assets, June 2010.

Hung, Benjamin W. K.    Optimization-Based Selection of Influential Agents in a Rural Afghan Social Network, June 2010.

Rajagopalan, Shreevatsa   Distributed Averaging in Dynamic Networks, September 2010.

Seidel, Scott B.    Planning Combat Outposts to Maximize Population Security, June 2010.

Shenk, Kimberly N.    Patterns of Heart Attacks, June 2010.

Snyder, Ashley M.    Data Mining and Visualization: Real Time Predictions and Pattern Discovery in Hospital Emergency Rooms and Immigration Data, June 2010.

Vaze, Vikrant    Calibration of Dynamic Traffic Assignment Models with Point-to-Point Traffic Surveillance, June 2010.

Yang, Lang    Modeling Preferences for Innovative Modes and Services: A Case Study in Lisbon, June 2010.

Marks, Christopher E.  – Optimization-Based Routing and Scheduling of IED-Detection Assets in Contemporary Military Operations, June 2009.

Negron, Blair Ellen Leake  – Operational Planning for Multiple Heterogeneous Unmanned Aerial Vehicles in Three Dimensions, June 2009.

Sasanuma, Katsunobu  – Policies for Parking Pricing Derived from a Queueing Perspective, September 2009.

Soldner, Mallory Jo  – Passenger-Centric Ground Holding: Including Connections in Ground Delay Program Decisions, June 2009.

Flietstra, Bryan C.  – A Data Mining Approach for Acoustic Diagnosis of Cardiopulmonary Disease, June 2008.

Foreman, John William  – Optimized Supply Routing at Dell Under Non-Stationary Demand, June 2008.

Gaudet, Megan  – Harmonization of Aviation User Charges in the North Atlantic Airspace, June 2008.

Guo, Jingqiang Charles  – Estimation of Sell-up Potential in Airline Revenue Management Systems, June 2008.

Le Guen, Thibault  – Data-driven pricing, September 2008.

Limpaitoon, Tanachai  – Real-time Multi-Period Truckload Routing Problems, February 2008.

Murphy, Maurice D.  – Tropical Cyclone Preparedness and Response: Opportunities for Operations Research, June 2008.

Noyes, Clay W.  – Analysis and Optimization of the Emergency Department at Beth Israel Deaconess Medical Center via Simulation, June 2008.

Quinteros, Martin  – Managing Portfolios of Products and Securities, September 2008.

Siow, Christopher  – Analysis of Batching Strategies for Multi-Item, February 2008.

Ye, Yunqing  – Joint Pricing and Inventory Decision for Competitive Products, February 2008.

Bryant, Corban Harrell  – Robust Planning for Effects-Based Operations, June 2006.

Guo, Kenrick  – Examining Financial Puzzles From An Evolutionary Perspective, February 2006.

Hanowsky, Michael  – A Tool to Support the Planning of Ground Delay Programs Subject to Uncertain Arrival Capacities, June 2006.

McAllister, Daniel B.  – Planning with Imperfect Information: Interceptor Assignment, June 2006.

Sakamoto, Philemon  – UAV Mission Planning Under Uncertainty, June 2006.

Shah, Premal  – No-arbitrage Bounds on American Put Options with Single Maturity, June 2006.

Zhou, Xinfeng  – Application of Robust Statistics to Asset Allocation Models, June 2006.

Chandler, Lincoln J . – A Decision Analytic Approach to Web-Based Clinician Training, February 2005.

Hickman, Randal E.  – Interception Algorithm for Autonomous Vehicles with Imperfect Information, June 2005.

Malasky, Jeremy S.  – Human Machine Collaborative Decision Making in a Complex Optimization System, June 2005.

Mostagir, Mohamed – Fully Polynomial Time Approximation Schemes for Sequential Decision Problems, September 2005.

Tardy, Raphaël  – Optimization Models and Algorithms for Large-Scale, Capacity Constrained Pick-up and Delivery Problems with Time WIndows, June 2005.

Weber,Theophane  – Conditional Dynamics of Non-Markovian, Infinite-Server Queues, June 2005.

Wroten, Matthew C.  -Coordinated Dynamic Planning for Air and Space Operations, June 2005.

Yamanaka, Shiro  -The Impact of Infrastructure-Related Taxes and Fees on Airline Fares in the US and the European Union, June 2005.

Agbokou, Biova  – Robust Airline Schedule Planning: Review and Development of Optimization Approaches, June 2004.

Alighanbari, Mehdi  – Task Assignment Algorithms for Teams of UAVs in Dynamic Environments, June 2004.

Jeffreys, Christopher G.  – Support Vector Machine and Parametric Wavelet-Based Texture Classification of Stem Cell Images, June 2004.

Key, Jonathan Ramsay  – Routing in Probabilistic Networks, June 2004.

Koepke, Corbin G.  – Multi-Mission Optimized Re-Planning in Air Mobility Command’s Channel Route Execution, June 2004.

Sarmadi, Sepehr  – Minimizing Airline Passenger Delay through Integrated Flight Scheduling and Aircraft Routing, June 2004.

Tanizar, Ketty  – Alternatives to the Gradient in Optimal Transfer Line Buffer Allocation, September 2004.

Timmers, Kendell M.  – Learning Together Better: The Structured Design of Learning Teams, June 2004.

Varol, Nebibe  – Inventory Deployment and Market Area Segmentation in a Two-Echelon Distribution Network Design, June 2004.

Ergun, Ayla  Optimal Scheduling of Radiotheraphy and Angiogenic Inhibitors, February 2003.

Seyhan, Murat  Private Risk and an Example From the Pharmaceutical Industry, February 2003.

El Alj, Yasmine  Estimating the True Extent of Air Traffic Delays, June 2003.

Mao, Ye  A Profit Maximization Model in a Two-Echelon Supply Chain Management: Distribution and Pricing Strategies, June 2003.

Phomma, Maxime  Product Development Collaboration Between Original Equipment Manufacturers and After Market Suppliers, June 2003.

Xu, Ping  Approximate Expected Delay for a Nonstationary Queue and an Application to Air Traffic Control, June 2003.

Zarybnisky, Eric J.  Allocation of Air Resources Against an Intelligent Adversary, June 2003.

Yee, Michael  Solving Network Equilibrium Problems in Static and Dynamic Environments, September 2003.

Amonlirdviman, Kevin   The Dynamics of Global Financial Crises, June 2002. 

Bart, Yakov Y.  Determinants and Consequences of Trust in Online Environment, September 2002.

Kang, Seong-Cheol  Algorithms for Routing Problems in Stochastic Time-Dependent Networks,  June 2002. 

Nielsen, Christopher A.  Large-Scale Network Design using Composite Variables:An Application to Air Mobility Command’s 30-day Channel Route Network, June 2002. 

Schorr, Raphael Avram  On the Explanatory Value of Condition Numbers for Convex Optimization: Theoretical Issues and Computational Experience, September 2002. 

Shioda, Romy  Restaurant Revenue Management, June 2002.

Achy-Brou, Aristide C.E.  A New Approach to Multistage Serial Inventory Systems, February 2001. 

Barth, Christopher   Composite Mission Variable Formulation For Real-Time Mission Planning, June, 2001. 

Chandra, Anurag  Algorithms for Locomotive Scheduling, February 2001. 

Clark, Steven J.  Large-Scale Optimization Planning Methods for Distribution and Transportation. Logistics: An Application to Contingency Munitions, June, 2001. 

Duran Murrieta, Rodolfo  Effects of Supply Chain Strategy in Distribution Networks, February 2001. 

Idris, Husni Rifat  Queuing Dynamics and Control of Departure Operations at Boston Logan Airport, February 2001. 

Jang, Young Jae   Multiple Part Type Decompostion Method in Manufacturing Processing Line, June, 2001. 

Moffitt II, Jeffrey D.  Applying the Metrics Thermostat to Naval Acquisitions for Improving the Total Ownership Cost-Effectiveness of News Sytems, June, 2001. 

Theatte, Kermit  Tactical Shipping and Scheduling at Polaroid with Dual Lead Times, June, 2001. 

Toubia, Olivier  Interior-Point Methods Applied to Internet Conjoint Analysis, February 2001. 

Werner,Loren M.  Analysis and Design of Closed Loop Manufacturing Systems, September, 2001.

Andersson, Kari    Potential Benefits of Information Sharing During the Arrival Process at Hub Airports, June 2000. 

Cohen, Jonathan E. W.  Safety at What Price?: Setting Anti-terrorist Policies for Checked Luggage on US Domestic Aircraft, June 2000. 

Coumeri, Marc H.   Dynamic Pricing in a Competitive Environment: A Learning Approach September 2000. 

Gzouli, Omar  Comparison of Scheduling Policies by Simulation, June 2000. 

Kachani, Soulaymane  Analytical Dynamic Traffic Flow Models: Formulation, Analysis and Solution Algorithms, February 2000. 

McKeever, Scott D.  Path Planning for an Autonomous Vehicle, June 2000. 

Messmacher, Eduardo B.  Models for Project Management, June 2000. 

Muharremoglu, Alp  The Aircraft Sequencing Problem with Arrivals and Departures, February 2000. 

Sursock, Jean-Paul  The Cross Section of Expected Stock Returns Revisited, June 2000.

Bratu, Stephane  Network Value Concept in Airline Revenue Management, February 1999.   Lee, Pei Ting  Dynamic Programming Model for Mortgage Refinancing Problem with Stochastic Interest Rates, June 1999. 

Lohatepanont, Manoj  Incremental Airline Schedule Design, February 1999. 

Marandon, Eric  The Hermite Black-Scholes Formula: Relating Option Prices to Moments of the Underlying Asset, June 1999. 

Taneja, Hemant  A Tactical Planning Model for a Semiconductor Wafer Fabrication Facility, June 1999. 

Tziligakis, Constantine N. Relaxation and Exact Algorithms for Solving Mixed Integer-Quadratic Optimization, September 1999. 

Wike, Carl E.  Supply Chain Optimization: Formulations and Algorithms, February 1999.

Al-kibsi, Gassan Ahmed  Optimal Product Assortment for Consumer Packaged Goods Retailers, June 1998. 

Cervantes, Jose A.  Effective Modeling of Throughput in Semiconductor Assembly Processes, February 1998. 

Chew, Elaine  Multiperiod Portfolio Optimization: Feynman Diagrams and Approximate Dynamic Programming, June 1998. 

Coop, Andrew E.  Contingency Munitions Logistics Planning and Control: A Framework for Analysis, June 1998. 

Kassab, Hisham I.  Scheduling in Packet Radio Networks, June 1998. 

Krishnan, Niranjan  Design of Large Scale Transportation Service Networks with Consolidation: Models, Algorithms and Applications, February 1998. 

Lauprette, Geoffrey J.  Some Aspects of the Optimal Grouping of Stocks, February 1998. 

Liu, Wenyun  Winning the Competitive Edge in the DRAM Market: A System Dynamics Analysis, February 1998. 

Ouyang, Li  An On-line Shopping Study, June 1998. 

Rifkin, Ryan M.  The Single Airport Static Stochastic Ground Holding Problem, June 1998.

  Shanbhag, Vinayak V.  Optimal Control Systems in Response to Diverse Electricty Pricing Structures, February 1998. 

Tan, Too-Ping  Extensions of the Minimum Cut Problem and Their Applications in Airfield Cutting, February 1998.

Bowman, Jeremy M.  Analysis and Optimization of a Biotechnology Service Operation, June 1997. 

Clarke, Michael Dudley Delano  An Introduction to the Airline Recovery Problem, June 1997. 

Guastalla, Guglielmo  An Advanced Algorithm for Air Traffic Flow Management, June 1997. 

Liao, Te-San  Modeling and Cost Analysis of Global Logistics and Manufacturing System, June 1997. 

Nemec, Joseph Edward  A Quantity Scheduling Language for Manufacturing Systems, June 1997. 

O’Dell, Susan W.  Optimal Control Strategies for a Rail Transit Line, June 1997. 

Sheel, Minakshi  Probabilistic Analysis of Ground-Holding Strategies, February 1997.

Chopra, Sameer  Efficient Scenario Evaluations Using the Nested Logit Model, June 1996. 

Choy, Brenda P-T.  Analyzing Total Distance in Vehicle Routing Problems, June 1996.

D’Amato, Rebecca M.  Allocating Housing Resources for a Psychiatric Program, June 1996.

Escobar Fernandez de la Vega, Marcos  Systematic Procedure to Meet Specific Input/Output Constraints in the l1-optimal Control Problem Design, June 1996. 

Ma, Chien  Models and Algorithms for a Stochastic One Machine Sequencing Problem, June 1996. 

Sylla, Abdoul K.  Portfolio Optimization Using Non-Gaussian Return Distributions, June 1996. 

Wang, I-Lin  Implementing the Premultiplier Method for Minimum-Cost Flow Problem, February 1996. 

Willems, Sean P.  Strategic Safety Stock Placement in Integrated Production/Distribution Systems, June 1996. 

Young, Janice M.  Decoding of a Markov Process with Imperfect State Information, June 1996.

Al-Othman, Abdulwahab N.  Analysis of Vaidya’s Volumetric Cutting Plane Algorithm, September 1995. 

Armacost, Andrew P.  Modeling Railroad Terminal Operations: Supporting Real-Time Network Planning and Control, June 1995. 

Chiu, Kenneth  Generalized Gaussian Covariance Analysis in Multi-Market Risk Assessment, February 1995. 

Chu, Michael Yi Xin  Combining Heuristics and Integer Programming for Optimizing Job Shop Scheduling Models, February 1995. 

Fournier, Renaud R.  Analyzing Scanner Data for Manufacturing Planning, June 1995. 

Giancola, Augusto Rafael Some Tools for Event Frequency Decomposition and Heterogeneous Transfer Line Analysis, June 1995. 

Kostiner, Barry J.  Spatial Market Equilibrium for Resistive Electric Networks, February 1995. 

Lakshmi, Viswanathan  Genetic Algorithms for Uncapacitated Network Design, February 1995. 

Lee, Fung-Man  Studies in Time Series Analysis and Forecasting of Energy Data ,June 1995. 

Merrill, N’Gai  A Multi-Period General Equilibrium Model of Long-Term Environmental Policy Using Overlapping Generations, June 1995. 

Mori, Yutaka  Demand for Interactive Television, February 1995. 

Reiss, Stan  Message Routing in Level 1 of the Wide-Band All-Optical Network ,June 1995. 

Ying, Yee-Chien Calvin  How Can Improved Weather Forecasting Accuracy Reduce Air Traffic Delays?, September 1995.

Ahn, Sungsu  Construction and Implementation of Real-Time Scheduling Algorithms in a Computer Aided Fabrication Environment, February 1994. 

Ansari, Mohsinuddin  A Queueing Analysis of a Buffered Block-Selective S-ARQ Protocol, June 1994. 

Brodsky, Valery  Optimization Methods for Topological Design of Interconnected Ring Networks, February 1994. 

Chu, Qin  A Dynamic and Stochastic Model for Distribution of Empty Containers, June 1994.

Chu, Ronald W.Y.  Finding a Cycle with Maximum Profit-to-Time Ration – An Application to Optimum Deployment of Containerships, June 1994. 

Datta, Sougata  CEPH Fingerprints and Their Analysis, June 1994. 

Fang, Yue  A Sequential Approach for Estimating Two-factor Interactions, June 1994.

  Gopalakrishnan, Srimathy  Optimization Models for Production Planning in Metal Sheet Manufacturing, February 1994. 

Hauksson, Arni G.  Management of the Marketing Mix, Using Models Based on Household Level Data, February 1994. 

Hocker, Guy A.  Airport Demand and Capacity Modeling for Flow Management Analysis, February 1994. 

Humair, Salal  An Approach to Solving Constraint Satisfaction Problems Using Asynchronous Teams of Autonomous Agents, September 1994. 

Kaufman, Alan  Data and Algorithms for Genomic Physical Mapping, September 1994. 

Kuo, Yu-Ting  Some Estimates of the Value of Software, June 1994. 

Maragos, Spyridon A.  Revenue Management for Ocean Carriers: Optimal Capacity Allocation with Multiple Nested Freight Rate Classes, June 1994. 

Murti, Kamala P.  Static and Dynamic Scheduling in a Two Station Mixed Queuing Network, June 1994. 

Stamatopoulos, Miltiadis A.  A Factory Representation as a Design Tool in a Computer Integrated Manufacturing Environment, June 1994. 

Voigtlaender, Christian H.  Intermodal Freight Transportation – An Integrated Analysis of Strategy and Operations, June 1994. 

Zilberman, Yaron  The Asset Allocator, February 1994.

Burman, Mitchell H.  A Real-Time Dispatch Policy for a System Subject to Sequence-Dependent, Random Setup Times, February 1993. 

Duarte, Maria Cristina  Multiple Product Cycle Time Minimization for Serial Placement Machines, September 1993.

Goranson, Jesse  Looking for Trouble: How Well the FAA’s Enhanced Traffic Management System Predicts Aircraft Congestion, September 1993. 

Jeancard, Henri-Pierre  Forecasting Capabilities and Model Diagnostics for Auto-Regressive Conditionally Heteroskedastic Time Series, February 1993.

  López-Arteaga, Alfonso J.  The Dynamic Traffic Assignment Problem in Intelligent Vehicle – Highway Systems, February 1993. 

Malone, Kerry M.  Modeling a Network of Queues Under Nonstationary and Stochastic Conditions, February 1993. 

Mueller, Alexander T.  Optimizing Advertisement Selections and Scheduling, February 1993. 

Pinker, Edieal J.  Computational Experience with a New Workforce-Workflow Scheduling Model, February 1993. 

Rajan, Kavitha  Analysis Of Heuristics For The Hierarchical Network Design Problem, June 1993. 

Shumsky, Robert A.  The Response of the U.S. Air Carriers to the DOT’s On-Time Disclosure Rule, June 1993. 

Theodosopoulos, Theodore V.  Worst-Case Identification in l1: Algorithms and Complexity, February 1993. 

Thomke, Stefan H.  Multivariate Quality Control of Flexible Manufacturing Processes, February 1993. 

Vanderbeck, Francois  A Decomposition Approach for Parallel Machine Assignment and Setup Minimization in Electronics Assembly, February 1993. 

Vettas, Lt. Peter C.  Cost and Productibility Optimization of Naval Ship Midship Section, June 1993. 

Zaman, Zia  A Scheduling Package Based on the QIE, February 1993.

Connolly, Stephanie  A Real-Time Policy for Performing Setup Changes in a Manufacturing System, June 1992. 

Elsesser, Kim  The Validation of a Simulation Model for the Allocation of Mental Health Services February 1992. 

Hsu, Lina Y.  The Design of an Assembly Line with Stochastic Task Times, June 1992. 

Longtin, Mark  Sequential Screening in Semiconductor Manufacturing: Exploiting Spatial Dependence, June 1992. 

Misra, Dipanwita (Diane)  Compression and Retrieval of Network Routing Solutions, June 1992. 

Park, Jai-Kue  Consumer Choice Modeling in the Presence of Brand Extension, September 1992. 

Ricard, Michael  A Decomposition Approach to Zero-One Integer Programming, February 1992. 

Robinson, Jonathan D.  A Simulation Testbed for Flow Management in Air Traffic Control, September 1992. 

Stanley, Timothy D.  The Economic Status of American Causalities of the Vietnam War, June 1992. 

Vives, Guillaume-Yves  Real-Time Scheduling of an Assembly Stage in a Production Line, February 1992. 

Vyas, Mary Pressley  Specification of Gaussian Process Models for Asset Returns with Asynchronous or Missing Data, June 1992.

Anderson, Susan M. L.  On Queue Audience: Calculating Reach and Frequency for Supermarket Television, June 1991. 

Baldi, Martha A.   An Analysis of Quality Control Policies on a Two-Station M/M/1 Production System, June 1991. 

Bucciarelli, Mark   Cluster Sampling Methods for Monitoring Route-Level Transit Ridership, September 1991. 

Chen, Meng-Huai   How Much Cash Should A Bank Maintain? – An Optimization Approach, September 1991. 

Chi, Zhihang   An Adaptive Final Approach Spacing Advisory System: Modeling, Analysis and Simulation, June 1991. 

Ingolfsson, Armann   Run by Run Process Control, September 1991. 

Miller, Jennifer A.  Spatial Interpretation and Statistical Modeling of Boston High School Dropouts, June 1991. 

Milner, Joseph M.  The Assembly Sequence Selection Problem: An Application of Simulated Annealing, June 1991. 

Savari, Serap   Source Coding for Channels with Finite-State Letter Costs, September 1991. 

Schenler, Warren  Robustness Under Uncertainty: A Normative Reduction of Multi-Future,  Multi-Attribute Tradeoffs in Electric Utility Planning, February 1991. 

Svrcek, Tom   Modeling Airline Group Passenger Demand for Revenue Optimization, June 1991 

Vranas, Peter B.   Merchant Fleet Size versus External Trade and Other Relevant Variables: A Statistical Investigation, June 1991. 

Yoshimura, Junichi  Improved Service and Maintenance Through Accident Sequence Precursor Risk Analysis, June 1991.

Abundo, Stephanie F.  An Approach for Estimating Delays at a Busy Airport, June 1990. 

Chervi, Philippe  A Computational Approach to Probabilistic Vehicle Routing Problems, February 1990. 

Generazio, Hoa  Analysis of First-Term Attrition of Non-Prior Service High-Quality U.S. Army Male Recruits, February 1990. 

Horangic, Basil R.  Some Queueing Models of Airport Delays, February 1990. 

Jacobe de Haut de Sigy, Romuald   Loading Control Policy for a Batch Machine, February 1990. 

Kierszenbaum, Michael   The Impact of Inspection Delays on Quality Contro,l June 1990. 

Kurebayashi, Atsushi  Comparison of Flow Shop Sequencing Models and Methods, June 1990. 

Lemire, Linda Jill   Due-Date Setting and Pricing in a M/M/1 First-Come First-Served Queue, June 1990. 

Ramakrishnan, V. S.  A LaGrange Multiplier Method for Solving Multi-Objective Linear Programs, September 1990. 

Vieira, Luiz F. M.  Computational Tests of Interior Point Algorithms for Linear Programming, June 1990.

Alston, Andrew  – An Integrated System for Tracking of Landmarks on Video Data: TOMAS the Torsional Ocular Movement Analysis System, June 1989

Amblard, Guillaume P. –  Rationale for the Use of Subassemblies in Production Systems: A Comparative Look at Sequential and Arborescent Systems, June 1989

Ballman, Karla V. –  Screening U.S. Donated Blood for HIV, February 1989

Bespolka, Carl G. –  A Framework for Multiple Attribute Evaluation in Electric Utility Planning, June 1989

Caulkins, Jonathan –  Inventory And The Strategic Value of Product-Flexible Manufacturing Systems, February 1989

Dickey, Lynn –  Where Should Safety Stock Be Held to Minimize Costs and Maximize Flexibility, June 1989

Fouska, Nikoletta –  Optimal Location of Discretional Service Facilities on a Network, June 1989

Fujiwara, Tsuneo –  Solving the Schedule Transition Problems Using Optimization Techniques, June 1989

Ingco, Divinagracia I. –  Network Design Problems for Improving Facility Locations, June 1989

Lin Carrie –  Analysis of Open Loop Manufacturing Systems, February 1989

Pappu, Suguna –  A Dual-Ascent Algorithm for Finding an Assembly Test Strategy, September 1989

Schreibman, Ruth –  Structural-Equation Modeling of the Sources of Market Pioneer Advantages: an Empirical Analysis of the Consumer Goods Industry, June 1989

Valdivieso, Teresa –  Discrete Choice Analysis of Demand for Optional Telephone Calling Features, February 1989

Venkatakrishnan, C.S. –  Sentencing Changes and Prison Population: The Transient Effects, February 1989

Badekas, Paris –  Mathematical Modeling of En route of ATC Intervention Rates, June 1988

Berger, llana –  Shipping Strategies in Multi modal Networks Exhibiting Economies, June 1988

Loiederman, Eric –  A Planning Tool for Predicting En Route ATC Conflicts and Designing ATC Sectors, September 1988

Louvet-Boutant, Anne-Claire –  The Bounded Rationality Constraint: Experimental and Analytical Results, June 1988

Mihara, Shoichiro –  A Tactical Model for a Job Shop with Unreliable Work Stations and Capacity Constraints, February 1988

Polychronopoulos, George –  Solution of Some Problems in Decentralized Detection by a Large Number of Sensors, June 1988

Sabanogulu Kohen, Jinet  – The Economics of Product Design: A Model and An Application, June 1988

Saias, Isaac I.  – Study of Probabilistic Noise in One Dimensional Images, June 1988

Srinivasan, K.V. (Cheena)  – Effect of Consumer Categorization Behavior on New Product Sales Forecasting, June 1988

Sy-Quia, lll, Gonzalo  – A Study of Production Loading in a Job Shop, September 1988

Aslidis, Anastasios Haralampos –  Management of Technological Change in the Shipbuilding Industry: A Learning Curve Approach, June 1987

Bertsimas, Dimitris –  An Analytic Approach to a General Class of G/G/s Queuing Systems, February, 1987

Chan, Ga-Yin (Leo)  – INGRID: An Interactive Color Graphics Interface for Dispatch of Emergency Vehicles, June 1987

Emami, Kayvan –  An Investigation of Time Dependent Queues with Priorities, September 1987

Emami, Neda –  Analysis of Duality Constructions for Variable Dimension Fixed Point Algorithms, September 1987

Higgins, Mary-Kay –  Airline Safety: A Comparative Analysis, February 1987

Lee, Anthony –  Nested Decomposition Methods for Vehicle Routing and Scheduling, June 1987

Parrish, Scott H. –  Extensions to a Model for Tactical Planning in a job Shop Environment, June 1987

Redfield, Carol Holmes –  Equipment Selection and Task Assignment for Multi product Assembly System Design, February, 1987

Shell, Martin C. –  Decision Horizons in Multi-Stage Optimization Models: An Analysis of Methods for the Minimization of End-of-Horizon Errors, February, 1987

Berman, Douglas  – The Manned Space Station Power System: An Operational Scheduler, September 1986

Calamaro, Jean-Paul –  Implementation of a Multistage Production Planning Systems, February 1986

Cheatham, John –  Analyzing Service Industries with Applied Quantitative Methods, June 1986

Eckstein, Jonathan –  Routing Methods for Twin-Trailer Trucks, June 1986

Huelskamp, Robert M. –  Aiding USAF/UPT Aircrew Scheduling Using Network flow Models, June 1986

Kee, Jacqueline –  Dispatch Strategies for Some Unusual Bulk Service Queues, June 1986

Marge, Charles –  Explaining Optimal Solutions to Assignment and Transportation Problems, June 1986

Newton, Elizabeth A.C. –  A Clustering Method for Group Viral Samples Based on Antibody Binding Activity, June 1986

Parekh, Abhay K.J. –  Minimizing the Number of Clusters in Mobile Packet Radio Networks, February 1986

Schiodtz, Paul G. –  Competitive Price, Position, and Advertising Strategies, June 1986

Wagner, Janet M. –  Reliability of Water Distribution Systems, February 1986

Wan, Deborah –  Locating New Facilities on a Multi activity, Multi-level Network, June 1986

Chapman, Paul T. –  Optimal Production Capacity in a Two Stage Subject to Production Failure, February 1985

Cox, Jr. Louis A. –  Risk Attribution in the Presence of Joint Causes, February, 1985

Hiller, Randall –  Computer-Aided Planning: A Decision Support Concept for the Corporate Planning Domain, June 1985

Ho, Ping –  The Application of the Cross Impact Analysis to Technological Change, September 1985

Lee, I-Jen – Stationary Markovian Queuing Systems: An Approximation for the Transient Expected Queue Length, June 1985

Richetta, Romano –  Color Graphics for Interactive Optimization of the Hypercube Queuing Model, June 1985

Arcila Agudelo, Adriana –  A Model to Provide Transportation Services for the Elderly and Handicapped, June 1984

Chen, Gloria Hiu-Lai –  Information Theoretic Models of Preprocessors and Decision Aids, June 1984

Leong, Poh Leng –  Multi attribute Queuing Theory, June 1984

Singhal, Vijay M. –  Point-to-Point Package Delivery Systems, September 1984

Smith, Brian –  Coordinated Air Defense, June 1984

Brewster, Silvano –  Optimal Regulators Designed for Implementation on Computationally Limited Computers, February 1983

Magonet-Neray, Robin C. –  Optimal Ship Positions for Naval Battle Group Defense Problems, September 1983

Puente-Angulo, Carlos E. –  A Comparison of Linear and Nonlinear Random Field Estimators, June 1983

Roege, William –  Pilot Scheduling in a Fighter Squadron, February 1983

Tsai, Christopher L. –  Procurement Planning for Reusable Inventory Systems, September 1983

Bardenstein, Ruth –  Optimization of Water Resource Projects with Renewable Resources and Multiple Energy Production: The Mediterranean Sea Project to Produce Hydroelectric and Soar Power, June 1982

Josa, Charles – An Heuristic Decision Procedure for a Precedence Constrained Single-Depot Vehicle Routing Problem, February 1982

O’Rourke, Paul F. –  A Physically A Based Model of the Space conditioning Load Under Spot, February, 1982

Richardson, James –  Regulating Automobile Insurance Residual Markets: A Policy for Controlling the Size of the Pool in Selected Risk Classes, June 1982

Schaack, Christian –  Using the Kth Nearest Neighbor Clustering Procedure to Determine the Number of Subpopulations, June 1982

Ser, Shu –  Analysis of Automatic Vehicle Location Systems Operating in Systems, June 1982

Guillamon-Duch, Higinio –  The Economics of Low Temperature, Liquid-Dominated Hydrothermal Resources, February 1981

Morgan, Kelly B. –  The Incorporation of Uncertainty in the Air Pollution Regulation Process, September 1981

Quek, Ser Aik –  Diagnostics for Econometric Models, September 1981

Stabile, Debra –  The Design of Information Structures: Basic Allocation Strategies for Organization, September 1981

Bendixen, Lisa –  Probability Assessment: Issues of Implementation, September 1980

Brown, Richard –  A Method for Sensitivity Analysis of L.P. Decomposition Equilibrium, with Application to the Copper Industry, February 1980

Habib, Frances –  Investigating Convergence of a Capacity Planning Model Using Generalized Bender’s Decomposition, September 1980

Hook, Jack –  Market Impacts of Price Regulation in Automobile Insurance, February 1980

Lamar, Bruce W. – Optimal Machine Selection and Task Assignment in An Assembly System Design Problem, September 1980

Oum, Jai Y. – Harmonic Transformations and Gradient Curves, September 1980

Perakis, Anastassions N. –  A New Probabilistic Detection Model for Phase Random Ocean Acoustic Fluctuations and its Comparison with Data, February 1980

Shavel, Ira H. –  A Dynamic Optimization Model for Studying the Transition from Depletable Resources to New Technologies, September 1979

Brandeau, Margaret L. –  Decision Strategies for Interline Subway Control Systems, February 1978

Cozzi, Claudio –  Simple Models for a Single Route Public Transportation System, June 1978

Golush, William G. – Probabilistic Models for Optimal Seismic Design, February 1978

Sadiq, Ghazala –  Multifleet Routing Problems February 1978

Chen, Royee C. –  Nuclear Reactor Rescheduling Study, February 1977

Sultan, Fareena –  A Simulation Model of Population and Agricultural Growth in a Developing Country: A Case Study of Pakistan, June 1977

Tan, Chang-Bin –  Port Capacity Modeling of GERT and Queuing Network Approaches, June 1977

Weilmuenster, David P. –  Performance Characteristics of Signpost Automatic Vehicle Locating Systems, September 1977

Wexler, Jonathan W. –  A Methodology for Configuring Distributed Real-Time microcomputer Systems, with Applications to Inertial Navigational Systems, June 1977

Aashtiani, Hedayat Z. –  Solving Large Scale Network Optimization Problems by the Out-of-Kilter Method, February 1976

Assad, Arjang A. –  Solution Techniques for the Muti-commodity Flow Problems, June 1976

Bloom, Jeremy A. –  A Mathematical Model of Fuel Distribution in New England, February 1976

Dersin, Pierre L. –  Sensitivity Analysis of Optimal Static Traffic Assignments in a Large Freeway Corridor, Using Modern Control Theory, September 1976

Franck, Evelyn A. –  Implementing Closest Vehicle Dispatching Strategy on the Hypercube Model, February 1976

Laurent, Gilles –  A Dynamic Analysis of the Housing Market in Paris, June 1976

Lim, Joseph A. Y. –  The Effects of Socio-Eco-Demographic Factors and Family Planning Programs on Fertility, February 1976

Matsushita, Masaki –  An Application of Benders Decomposition to Steel Production, February 1976

Talafuse, David W. –  Blood Donor Attitudes and Decisions: An Exploratory Analysis, September 1976

Baldini, Vittorio A. –  Operations Research Problem in the Motion Picture Industry, February 1975

Bitran, Gabriel R. –  Duality and Sensitivity Analysis for Fractional Programs, June 1974

Facet, Tomas B. –  Role of Partial Gradient Estimation by Simulation in Water Resource Plan Formulation, February 1975

Johns, Joseph H. –  Intelligent Computer-Aided Dispatching for Urban Police Patrol Units, September 1975

Oswald, Louis J. –  Preemption – A Visible Strategy?, September 1975

Asser, Sylvain E. T. –  An Algorithm to Solve the Nth Shortest Path Problem, February 1974

Bodily, Samuel E. –  The Utilization of Frozen Red Cells in Blood Banking System: A Decision Theoretic Approach, June 1974

Brinati, Marco A. –  Analysis of the Queuing Process at an Offshore Export Terminal for Dry Bulk Cargo, September 1974

Carlton, Dennis W. –  Modeling the Effects of the Housing Allowance Program, September 1974

DeChatillon, Renaud A. –  Energy Use in the Steel Industry, June 1974

Emami, Kayvan –  An Investigation of Time Dependent Queues with Priorities, September 1974

Falk, Patrick G. –  An Optimal Replacement and Maintenance Strategy for Aircraft, June 1974

Finet, Jean-Marc P. L. –  The Calibration of Nonlinear Models, June 1974

Golden, Bruce –  A Minimum-Cost Multicommodity Network Flow Problem Concerning Imports and Exports, February 1974

Grimm, Ernst  -A Study of the Effect of Advertising on Sales, September 1974

Ulrich, Lionel Y. –  Heuristic Algorithms for Solving a Large Scale Multicommodity Flow Problem on a Network with a Step Function Cost, June 1974

Cruz-Bracho, Pedro Elias –  A Preliminary Simulation Model of Factors Affecting the Nutritional and Health Status of Children in Low-Income Families, September 1973

Layrisse, Francisco Jose –  Applications of Control Theory to Socioeconomic Systems, February 1973

Lingley, Gordon Steward –  Analysis of Interoceanic Canal Alternatives: A System Approach to Decision Making, February 1973

Ovi, Alessandro –  Decision Analysis Applied to Nuclear vs. Fossil Alternatives for Electric Energy Production, February 1973

Bell, David Edwin –  A Utility Theory Approach to Preferences for Money Over Time, June 1972

Calvo, Alberto Bruno –  Location of Health Services Facilities: A Mathematical Programming Approach, February 1972

Campbell, Gregory Lewis –  A Spatially Distributed Queuing Model for Police Patrol Sector Design, June 1972

Gelerman, Walter –  Airline Competitive Games and Airport Utilization, June 1972

Haan, Anders Henrik –  A Screening Model for Water Resource Development: Stochastic Considerations, February 1972

Honda, William Fumio –  Probabilistic Comparison of Automobile Insurance Rating Schemes, September 1972

Horgan, Dennis Neville, Jr. –  A Decision Analysis of Sewage Sludge Disposal Alternatives for Boston Harbor, September 1972

Huang, Alexander Kuang Yu –  A Market Response Model for New Consumer Durables, June 1972

Weymuller, Stanislas Bruno –  Duality Theory and Economic Analysis, June 1972

Carlson, William Edwin –  Scheduling Vehicles on Grid Networks of Automated Guideways, June 1971

Crousillat-Velasco, Cesar Oreste –  Design Considerations for Airport Landing Systems, June 1971

Kanal, Prakash Mulchand –  A Mathematical Model for a Cash Collection System, June 1971

Ketchledge, Bruce Arthur –  Optimal Bounded Control of Stochastic Production/Inventory Systems, September 1971

Rosenfield, Donald Barry –  Effects of Refractoriness in Hearing Models, February 1971

Shapiro, Roy David –  Interlaced Scheduling of Transmit-Receive Pulses, February 1971

Ting, Harold Montford –  Aggregation of Attributes for Multi attributed Utility Assessment, June 1971

Howard, Daniel Dale –  Dynamic Location-Allocation Analysis, September 1970

McDonald, Jarl W. –  The Effects of Free Capacity Transportation Networks on the Distribution of Travel Time and Traffic: A Computer Simulation, June 1970

Robinson, William Owen –  Multivariate Probability Assessment, September 1970

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PhD in Management Science and Operations Management

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As a doctoral student in management science and operations management at Chicago Booth, you will leverage mathematics and computer methods to generate research that helps managers develop better systems and make better decisions.

The Management Science and Operations Management PhD Program applies the underlying methodologies of management science to deal with problems of developing, producing, and delivering goods and services.

In collaboration with faculty who are recognized leaders in their fields, you’ll use rigorous research methods and theory to help guide organizations to better outcomes.

Our Distinguished Management Science and Operations Management Faculty

Chicago Booth faculty in management science and operations management conduct pioneering work with lasting impact. As a doctoral student here, you’ll gain from their knowledge and experience through advising, mentorship, and research collaboration.

Dan Adelman

Dan Adelman

Charles I. Clough, Jr. Professor of Operations Management

Baris Ata

Sigmund E. Edelstone Distinguished Service Professor of Operations Management

John Birge

John R. Birge

Hobart W. Williams Distinguished Service Professor of Operations Management

Rene Caldentey

Rene Caldentey

Eli B. and Harriet B. Williams Professor of Operations Management

Ozan Candogan

Ozan Candogan

Professor of Operations Management

Levi DeValve

Levi DeValve

Assistant Professor of Operations Management

Donald D Eisenstein

Donald D. Eisenstein

Haihao Lu

Rad Niazadeh

Assistant Professor of Operations Management and Asness Junior Faculty Fellow

chicago-booth-kathleen-fitzgerald

Bahar Taskesen

Amy Ward

Rothman Family Professor of Operations Management and Charles M. Harper Faculty Fellow

Linwei Xin

Associate Professor of Operations Management

Yuan Zhong

Alumni Success

Our alumni have gone on to successful careers  in academia and industry.

S. Alex Yang, MBA ’10, PhD ’10

Associate Professor of Management Science and Operations London Business School S. Alex Yang’s main research focus is on how operational and financial decisions are coordinated within value chains. His other research interests include fintech, value chain management, and platform economy. His PhD is in management science and operations management.

Scholarly Publications

Chicago Booth is home to some of the world’s most prestigious business and economic journals. Today, the school is responsible for the management of three high-impact journals , while four others were founded at Booth.

Spotlight on Research

Faculty and student research in management science and operations management is regularly highlighted in Chicago Booth Review .

Amy R. Ward Says Customers Are Getting Impatient

In this digital age, customers expect what they want when they want it. Chicago Booth’s Amy R. Ward explores ways business can provide that.

Dan Adelman Says Health Care Has a Data Opportunity

The Charles I. Clough Jr. Professor of Operations Management explains why health care is behind in data analytics, and why it’s poised to improve.

How Bookies Can Outwit Smart Bettors

Chicago Booth’s John R. Birge and Booth PhD candidate Yifan Feng identified a set of policies that enables bookies to strike a balance between learning from market participants and bluff-proofing their business.

A Network of Support

Chicago Booth is home to several research centers that offer research funding to PhD students. They also bring together a network of like-minded scholars who guide and support our students in their research.

Rustandy Center for Social Sector Innovation Chicago Booth’s destination for people committed to tackling social and environmental problems, the Rustandy Center supports the work of PhD students and others who are focused on transforming the social sector.

The PhD Experience at Booth

For Vishal Ahuja, PhD ’13, a key strength of the Chicago Booth community is its interdisciplinary nature.

Vishal Ahuja

Video Transcript

Vishal Ahuja '13: 00:03 I find one of the strengths of University of Chicago is the interdisciplinary nature of the work, and then as long as you've got ideas people like to work together. I started getting interested in health care after I took a course in public policy. My research deals with clinical trials. What we are trying to do is to improve the way trials are conducted. As patients come in and are allocated one to the treatment arm and one to the placebos. Now, let's say after a year you find that one treatment in particular is doing extremely well, which means great patient outcomes. On the other, it's just bad.

Vishal Ahuja '13: 00:40 Wouldn't you want to allocate the patients on the bad arm to the better arm? The problem is that if you find out after a year that one arm is better than the other, or one treatment is better than the placebo, or the generic, you can't stop, because otherwise that you're violating the protocol. There has to be a scientific protocol that says, if this, this, this, and this happens, then do this. If eight out of 10 patients see success, and four out of 10 on B don't see success, then allocate one patient, move one patient from B to A. There has to be a scientific, what I call a policy, that the FDA is aware of, and is building the protocol.

Vishal Ahuja '13: 01:15 The fundamental idea is being adaptive about how you allocate patients, but do so in a scientific way, and when there are multiple patients present. My dissertation committee was very much interdisciplinary in nature, one from economics, three from operations and one for Pittsburgh School of Medicine. And I think I benefited a lot from having that interdisciplinary committee. I find that medical community is much more amenable to these kinds of methodologies and the ways of addressing the problem. What I find is that we're missing that language barrier where we think we're doing this great work and they think these guys are just doing some work that's not applicable. So fighting that communication barrier, I think, is the key. And you get to appreciate how some of the work that Booth students do, including myself, it could potentially impact patient lives.

Current Management Science and Operations Management Students

Chicago Booth is a top destination for students interested in management science and operations management. They come from all over the world to work with faculty whose work has had an impact on the way industry professionals, government leaders, and scholars conduct business.

Current Students

Mohammad Reza Aminian

Jayoung Byun

Tongqing (Angelina) Chen

Farbod Ekbatani Feiyu Han

Ebru Kasikaralar Chun Li

Zi (Elaine) Ling

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Fabricio Previgliano

Tingrui Shi

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Duygu Soylemez

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Zhiqiang Zhang

Program Expectations and Requirements

The Stevens Doctoral Program at Chicago Booth is a full-time program. Students generally complete the majority of coursework and examination requirements within the first two years of studies and begin work on their dissertation during the third year. For details, see General Examination Requirements by Area in the Stevens Program Guidebook below.

Download the 2023-2024 Guidebook!

dissertation thesis on operations management

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99 Operations Management Dissertation Topics and Research Ideas for Students

Table of Contents

Operations Management Dissertation Topics : Managing the operations of a company is the basic domain that comes under the umbrella of operations management. Research topic in operations management covers all those business practices that are linked with managing operations.

This includes initial strategy, implementation, and final outcomes. Operations management is a very interesting field of academics and is gaining a lot of popularity these days on both national as well as international levels.

Below is the best list for Operations Management Dissertation Topics check out our more related posts for oil & gas management , innovation management , and leadership management topics .

Best Operations Management Dissertation Topics for college students

Operations Management Dissertation Topics

In general, the role of an operations manager is to  manage all activities involved in producing the goods and/or services of a business . In the retail industry, for example, an operations manager would manage all activities related to daily retail floor functions as well as planning and strategizing.

Some interesting operations management research topics have been presented below in the form of a list:

Common Topics for Operation Management

  • Investigating the conceptualization and contextualization of the public sector operations management.
  • Studying the relationship between operations management and business history for organizational setups.
  • Humanitarian operations management: a review of the literature.
  • Studying the relationship between collaboration and operations management: focus on food supply chains in X country.
  • Environmental management and operations management: focus on the implications.
  • Relationship between digital technologies and operations management: a systematic analysis.
  • The role played by operations management in the smart cities of X country.
  • Research in the domain of operations management: focus on ethical grounds.
  • Critical analysis of the relationship between operations management and the national culture of X country.
  • Operations management: focus on the challenges and opportunities of the field.
  • Studying the managerial dilemmas in the field of operations management: a review of empirical evidence.
  • How are the public sector policy and practice alignment influenced by operations management?
  • Studying the relationship between operations management and sales in companies of X country.
  • Association of digital technologies and co-creation and their impacts on operations management.
  • Operations management in a hospital set up in X country: a descriptive approach.
  • Correlational analysis of modeling and design in sustainable operations management: a qualitative analysis.
  • Relationship between decision-making and operations management: a systematic analysis.
  • Production management and operations management: a correlational study.
  • Teaching operations management at higher education levels: focus on challenges and interventions.
  • Electronics sector of X country and operations management: an inquiry.
  • Operations management information systems: where developed countries stand?
  • Correlational analysis of operations management, logistics, and purchasing: focus on X country.
  • The role played by analysis and strategy in the domain of operations management.
  • Investigating the practices used in operations management for X country’s organizations: an inquiry
  • Focusing on a case study approach towards operations management.
  • Studying the implications of augmented reality in the domain of operations management.
  • The role played by operations management in small businesses: focus on X country.
  • Historical analysis of operations management on international levels.
  • Intelligent manufacturing and operations management: a descriptive analysis.
  • The role played by operations management in the domain of goods and services.
  • Meta-analysis of operations management literature.
  • Achievement of strategic fit and operations management.
  • How do multinationals in X country focus and use operations management in their approaches?
  • Ergonomics and operations management performance: a review of empirical evidence.
  • Customer-centric operations management: a systematic analysis.

Supply Chain Management

  • The Role of Digital Technologies in Enhancing Supply Chain Efficiency
  • Sustainable Supply Chain Practices and Their Impact on Business Performance
  • The Impact of COVID-19 on Global Supply Chain Management
  • Risk Management Strategies in Supply Chain Operations
  • The Role of Artificial Intelligence in Supply Chain Optimization
  • Supply Chain Resilience: Strategies for Managing Disruptions
  • The Impact of Blockchain Technology on Supply Chain Transparency
  • Ethical Sourcing and Its Implications for Supply Chain Management
  • The Role of Supplier Relationship Management in Improving Supply Chain Performance
  • Lean Supply Chain Management: Principles and Applications

Lean Operations

  • Implementing Lean Manufacturing in Small and Medium Enterprises (SMEs)
  • The Impact of Lean Principles on Organizational Productivity
  • Lean Six Sigma in Healthcare: Improving Patient Outcomes
  • The Role of Kaizen in Continuous Improvement of Operations
  • The Application of Lean Thinking in Service Industries
  • The Impact of Lean Techniques on Reducing Operational Waste
  • Lean vs. Agile: Comparative Analysis in Manufacturing Environments
  • The Role of Value Stream Mapping in Enhancing Operational Efficiency
  • Implementing Lean Strategies in Public Sector Organizations
  • The Effectiveness of Lean Tools in Enhancing Quality Management

Quality Management

  • The Role of Total Quality Management (TQM) in Enhancing Business Performance
  • The Impact of ISO Certification on Organizational Quality Standards
  • Quality Management in the Healthcare Industry: Challenges and Solutions
  • The Role of Continuous Improvement in Achieving Quality Excellence
  • The Impact of Quality Management Systems on Customer Satisfaction
  • Implementing Six Sigma Methodology in Manufacturing Industries
  • The Role of Quality Audits in Ensuring Compliance with Industry Standards
  • Quality Management in the Food and Beverage Industry: Best Practices
  • The Impact of Quality Culture on Organizational Success
  • The Role of Statistical Process Control in Maintaining Quality Standards

Operations Strategy

  • The Role of Operations Strategy in Achieving Competitive Advantage
  • Aligning Operations Strategy with Business Goals: Best Practices
  • The Impact of Globalization on Operations Strategy Development
  • Operations Strategy in Emerging Markets: Challenges and Opportunities
  • The Role of Innovation in Shaping Operations Strategy
  • The Impact of Outsourcing on Operations Strategy and Performance
  • The Role of Operations Strategy in Managing Organizational Change
  • The Effectiveness of Operations Strategy in Service-Based Organizations
  • The Role of Technology in Enhancing Operations Strategy
  • The Impact of Operations Strategy on Organizational Sustainability

Process Improvement

  • The Role of Business Process Reengineering in Organizational Transformation
  • The Impact of Process Improvement Initiatives on Operational Efficiency
  • Process Improvement in Healthcare: Reducing Patient Wait Times
  • The Role of Workflow Automation in Enhancing Business Processes
  • The Impact of Process Standardization on Operational Consistency
  • The Role of Process Mapping in Identifying Improvement Opportunities
  • Implementing Continuous Process Improvement in Manufacturing Industries
  • The Impact of Technology on Business Process Improvement
  • Process Improvement in Retail Operations: Strategies for Success
  • The Role of Employee Involvement in Process Improvement Initiatives

Inventory Management

  • The Role of Just-in-Time (JIT) Inventory Management in Reducing Costs
  • The Impact of Inventory Management Systems on Operational Efficiency
  • Strategies for Managing Inventory in Uncertain Market Conditions
  • The Role of Demand Forecasting in Optimizing Inventory Levels
  • The Impact of Inventory Management on Supply Chain Performance
  • Inventory Management in E-commerce: Challenges and Solutions
  • The Role of Technology in Enhancing Inventory Management Practices
  • Inventory Management in Retail: Strategies for Reducing Stockouts
  • The Impact of Inventory Optimization on Business Performance
  • The Role of Vendor-Managed Inventory (VMI) in Improving Supply Chain Efficiency

Above is the best list of Operations Management Dissertation Topics, if you are still looking for some unique topics on your specific requirement, fill out the form below and get dissertation topics mini proposal servicer from experts and get unique dissertation topics on operations management.

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Theses and Dissertations (Operations Management)

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  • Investigating the influence of first-year expectations and experiences on student academic performance  Booi, Elizabeth Mmapholo ( 2024-01 ) This study examines the impact of first-year university students’ expectations and experiences on their academic performance to enable early strategic interventions. The research is grounded in various theoretical ...
  • Exploring the accuracy-explainability trade-off on credit scoring classifiers  Mtiyane, Sibusiso ( 2024-02 ) Recent research has highlighted the significance of accuracy and explainability of classification models applied across various disciplines. A wide range of classification models and combinations of models have been ...
  • Assessing work engagement of street traders (vendors) in the City of Tshwane, South Africa  Mabasa, Dumisani Godfrey ( 2023-01-31 ) The study was conducted to determine the occupational well-being of street traders, the most visible own-account workers in the informal sector, by assessing their work engagement through the UWES. The UWES is one of the ...
  • Assessment of human factors as a main contributory factor to youth-related road fatalities, and countermeasures to address the problem  Mofokeng, Motselisi Precious ( 2023-05 ) Road-related deaths contribute significantly to the death rate in South Africa (SA) and across the world, especially among the youth. The current study investigated road fatalities among the age group classified as ...
  • Academic-Staff Rating Index (ARI) System  Mokole, Thapelo Godwin ( 2021-06 ) Supervising students at a distance presents numerous social, mental, professional, and individual challenges on the student- supervisor relationship, and on the substance, progress, and conveyance. From the literature ...
  • Green logistics practices in Botswana : challenges and prospects for the large construction companies  Mpondori, Priscilla Fungai ( 2020-04 ) The construction industry is generally characterised by limited implementation of green logistics. With that in mind, this study aimed to examine the nature and extent of green logistics practices in large construction ...
  • Adopting green information and communication technology: barriers for South African small and medium enterprises  Bok, Elizma Sharee ( 2019-12 ) Green information and communication technology (ICT) is viewed as a pioneering initiative that plays a key role in reducing the negative impact of ICT on the environment. The research problem of the study was the low green ...
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  • An analysis of conveyancing business processes in South Africa  Amadi-Echendu, Anthea ( 2013-11 ) The purpose of this study was to investigate the conveyancing process in South Africa with a view to identify how the process might be improved in terms of its efficiency and effectiveness. Land is an asset and still remains ...
  • Exploring factors contributing to the strategy-to-performance gap : the case of a South African electronics organisation  Van der Merwe, Margrietha Magdalena ( 2014-05-27 ) "Can you define 'plan' as 'a loose sequence of manifestly inadequate observations and conjectures, held together by panic, indecision, and ignorance'? If so, it was a very good plan." Jonathan Stroud, The Ring of ...
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  • Total quality management and organisational performance in the Maluti-A-Phofung municipality in the Free State Province  Masejane, Thamae Paulus ( 2012-02 ) The overall aim of this study is to determine whether and how the application of Total Quality Management (TQM) can improve organisational performance in the Maluti-A-Phofung Municipality. There is a reason to believe that ...
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Digital Commons @ USF > Muma College of Business > Management > Theses and Dissertations

Management and Organization Theses and Dissertations

Theses/dissertations from 2024 2024.

Examining the Factors Impacting the Undergraduate Degree Performance in the College of Business at Southern Univeristy and Agriculture & Mechanical College , Brian D. Adams

Understanding Donor Preferences and Intentions: A Theory of Planned Behavior Approach , Kimberly Cubre

Home Is Where the Work Is: How Biases in Managers’ Resource Allocation Decisions Affect Task Performance in Remote Work Environments , Richard D. Mautz III

Fraud Brainstorming in an Era of Remote Work: The Effects of Alternative Video Conferencing Configurations and Audit Team Hierarchy , Ahmed Shuaib

Theses/Dissertations from 2023 2023

For Love or Money: Investor Motivations in Equity-Based Crowdfunding , Jason C. Cherubini

The Great Resignation: An Exploration of Strategies to Combat School Bus Driver Shortages in the Post-COVID-19 Era , James E. Cole Jr.

An Empirical Analysis of Sentiment and Confidence Regarding Interest Rates in Disclosures of Public Firms in the U.S. Fintech Sector , James J. Farley

Motivations for Planning: Uncovering the Inhibitors to the Adoption of Comprehensive Financial Planning for Business Owners , Daniel R. Gilham

An Examination of Reward-Based Crowdfunding Performance and Success , Matthew Alan Grace

All Quiet on The Digital Front: The Unseen Psychological Impacts on Cybersecurity First Responders , Tammie R. Hollis

Commitment to Change Dimensions: The Influence of Innovative Work Behavior and Organizational Environments , Michael Holmes

Turmoil in the Workforce: Introduction of the Nomadic Employee , Catrina Hopkins

Attention-Grabbing Tactics on Social Media , Arjun Kadian

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This dissertation addresses three topics in the domain of operations management. First we study the problem of profit allocation in a supply chain using a bargaining approach. We present a novel framework for the analysis of this problem. The application of our framework results in a prescription for the required profit allocations. We prove that in a setting where all supply chain agents can communicate, possibly coordinating their actions, the allocation prescribed by our bargaining framework coincides with the Shapley value of a cooperative game associated with the setting. Next, we study revenue management in the presence of strategic consumers, who face some uncertainty regarding the product valuation. We show, contradictory to the main stream of the literature regarding strategic consumers, that under certain circumstances, the retailer may prefer facing strategic consumers rather than myopic ones. Finally, we study the issue of cross-dock operations management at a shift-level. We target the main gap identified in the literature for this issue, and present a holistic framework for the allocation of cross-dock resources to processing of containers and freight. We show, using simulated data that our approach outperforms current practices.

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Essays on Retail Operations Management

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dissertation thesis on operations management

  • March 21, 2019
  • Affiliation: Kenan-Flagler Business School
  • Under the competitive nature, retailers need to consider numerous aspects to make better operational decisions. Retailers should understand customers’ needs to provide better service; have the right amount of labor to match supply with demand; and anticipate investors’ responses on the announcement of revealing private information such as building excess inventory to maximize retailers’ objective. This dissertation empirically examines these three aspects – customer behavior, labor scheduling, and excess inventory announcement where there appears to be limited empirical research in the literature. I utilize individual retailer’s micro-level proprietary data across multiple stores as well as publicly available firm-level financial data for multiple retailers. In the first essay, I identify a new phenomenon called thwarting behavior, defined as a systematic change in customers’ behavior when they experience congestion that imposes negative externalities on other customers. I provide empirical evidence for the thwarting behavior by analyzing archival data obtained from a retailer and by conducting a field study where I observe customer directly. I then quantify its impact on sales drop by running a field experiment. In the second essay, I examine the impact of incentives for store managers on their labor scheduling decisions. I find empirical evidence that incentive improves outcomes of store managers’ labor scheduling decisions and this finding is mainly driven by effort effect rather than selection mechanism. I also find that the financial incentives have differential impact on underlying decisions that led to the labor scheduling outcomes such as forecasting, labor planning, and execution. In the third essay, I analyze the determinants of excess inventory announcement and the stock market reaction to the announcement in the U.S. retail sector. I find that operationally competent retailers, measured by total factor productivity, have a lower probability of announcing excess inventory in the following year. In addition, the stock market penalizes excess inventory announcements made by operationally competent retailers more severely than those made by their less competent peers. Finally, providing action information, which the firm has taken or plans to take to deal with excess inventory, moderates the negative association between firm’s operational competence and abnormal returns due to the announcement.
  • Business administration
  • https://doi.org/10.17615/6btg-5c75
  • Dissertation
  • In Copyright
  • Staats, Bradley
  • Kesavan, Saravanan
  • Kuhnen, Camelia
  • Emadi, Seyed
  • Deshpande, Vinayak
  • Doctor of Philosophy
  • University of North Carolina at Chapel Hill Graduate School

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