similarity between assignment problem and transportation problem is

A Comparative Analysis of Assignment Problem

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• First Online: 06 June 2023
• Cite this conference paper

• Shahriar Tanvir Alam   ORCID: orcid.org/0000-0002-0567-3381 5 ,
• Eshfar Sagor 5 ,
• Tanjeel Ahmed 5 ,
• Tabassum Haque 5 ,
• Md Shoaib Mahmud 5 ,
• Salman Ibrahim 5 ,
• Ononya Shahjahan 5 &
• Mubtasim Rubaet 5  

Part of the book series: EAI/Springer Innovations in Communication and Computing ((EAISICC))

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• International Conference on Big Data Innovation for Sustainable Cognitive Computing

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The aim of a supply chain team is to formulate a network layout that minimizes the total cost. In this research, the lowest production cost of the final product has been determined using a generalized plant location model. Furthermore, it is anticipated that units have been set up appropriately so that one unit of input from a source of supply results in one unit of output. The assignment problem is equivalent to distributing a job to the appropriate machine in order to meet customer demand. This study concentrates on reducing the cost of fulfilling the overall customer demand. Many studies have been conducted, and various algorithms have been proposed to achieve the best possible result. The purpose of this study is to present an appropriate model for exploring the solution to the assignment problem using the “Hungarian Method.” To find a feasible output of the assignment problem, this study conducted a detailed case study. The computational results indicate that the “Hungarian Method” provides an optimum solution for both balanced and unbalanced assignment problems. Moreover, decision-makers can use the study’s findings as a reference to mitigate production costs and adopt any sustainable market policy.

• Assignment problem
• Hungarian method
• Balanced assignment problem
• Unbalanced assignment problem
• Supply chain goal
• Feasible solutions
• Optimal solution

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Military Institute of Science and Technology, Department of Industrial and Production Engineering, Dhaka, Bangladesh

Shahriar Tanvir Alam, Eshfar Sagor, Tanjeel Ahmed, Tabassum Haque, Md Shoaib Mahmud, Salman Ibrahim, Ononya Shahjahan & Mubtasim Rubaet

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Department of Computer Science and Engineering, Sri Eshwar College of Engineering, Coimbatore, Tamil Nadu, India

Anandakumar Haldorai

Department of Computer Science and Engineering, CMR University, Bengaluru, Karnataka, India

Arulmurugan Ramu

Sri Eshwar College of Engineering, Coimbatore, Tamil Nadu, India

Sudha Mohanram

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Alam, S.T. et al. (2023). A Comparative Analysis of Assignment Problem. In: Haldorai, A., Ramu, A., Mohanram, S. (eds) 5th EAI International Conference on Big Data Innovation for Sustainable Cognitive Computing. BDCC 2022. EAI/Springer Innovations in Communication and Computing. Springer, Cham. https://doi.org/10.1007/978-3-031-28324-6_11

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DOI : https://doi.org/10.1007/978-3-031-28324-6_11

Published : 06 June 2023

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Online ISBN : 978-3-031-28324-6

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