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Solving an Assignment Problem
This section presents an example that shows how to solve an assignment problem using both the MIP solver and the CP-SAT solver.
In the example there are five workers (numbered 0-4) and four tasks (numbered 0-3). Note that there is one more worker than in the example in the Overview .
The costs of assigning workers to tasks are shown in the following table.
Worker | Task 0 | Task 1 | Task 2 | Task 3 |
---|---|---|---|---|
90 | 80 | 75 | 70 | |
35 | 85 | 55 | 65 | |
125 | 95 | 90 | 95 | |
45 | 110 | 95 | 115 | |
50 | 100 | 90 | 100 |
The problem is to assign each worker to at most one task, with no two workers performing the same task, while minimizing the total cost. Since there are more workers than tasks, one worker will not be assigned a task.
MIP solution
The following sections describe how to solve the problem using the MPSolver wrapper .
Import the libraries
The following code imports the required libraries.
Create the data
The following code creates the data for the problem.
The costs array corresponds to the table of costs for assigning workers to tasks, shown above.
Declare the MIP solver
The following code declares the MIP solver.
Create the variables
The following code creates binary integer variables for the problem.
Create the constraints
Create the objective function.
The following code creates the objective function for the problem.
The value of the objective function is the total cost over all variables that are assigned the value 1 by the solver.
Invoke the solver
The following code invokes the solver.
Print the solution
The following code prints the solution to the problem.
Here is the output of the program.
Complete programs
Here are the complete programs for the MIP solution.
CP SAT solution
The following sections describe how to solve the problem using the CP-SAT solver.
Declare the model
The following code declares the CP-SAT model.
The following code sets up the data for the problem.
The following code creates the constraints for the problem.
Here are the complete programs for the CP-SAT solution.
Except as otherwise noted, the content of this page is licensed under the Creative Commons Attribution 4.0 License , and code samples are licensed under the Apache 2.0 License . For details, see the Google Developers Site Policies . Java is a registered trademark of Oracle and/or its affiliates.
Last updated 2023-01-02 UTC.
A New Method to Solve Assignment Models
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- DOI: 10.1016/j.trb.2021.05.018
- Corpus ID: 237705504
A new transit assignment model based on line and node strategies
- H. Ren , Y. Song , +1 author B. Si
- Published in Transportation Research Part… 1 August 2021
- Engineering
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Notes on bus user assignment problem using section network representation method, frequency based transit assignment models: graph formulation study.
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Emission trading scheme for emission reduction and equity promotion in multimode networks with heterogeneous users, considering the optimization design of urban bus network scheduling, modeling and evaluating the travel behaviour in multimodal networks: a path-based unified equilibrium model and a tailored greedy solution algorithm, an efficient hyperpath-based algorithm for the capacitated transit equilibrium assignment problem, a recursive stochastic transit equilibrium model estimated using passive data from santiago, chile, exploring the robustness of public transportation system on augmented network: a case from nanjing china, large-scale multimodal transportation network models and algorithms-part i: the combined mode split and traffic assignment problem, 57 references, passenger assignment model based on common route in congested transit networks, an equilibrium-fixed point model for passenger assignment in congested transit networks, simultaneous optimization of transit line configuration and passenger line assignment, passenger assignment in congested transit networks: a historical perspective., a frequency-based assignment model for congested transit networks with strict capacity constraints: characterization and computation of equilibria, capacitated transit assignment with loading priorities, a heuristic method for a congested capacitated transit assignment model with strategies, reliability‐based transit assignment for congested stochastic transit networks, optimal strategies: a new assignment model for transit networks, the allocation of buses in heavily utilized networks with overlapping routes, related papers.
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Creating Material Assignments and Component Allocations
After completing this lesson, you will be able to create material assignments .
Material Assignment
You use the material assignment function to determine which material is to be produced with a routing or rate routing. Based on this assignment, the routing can be used for sales and operations planning, material requirements planning, production order creation, and product costing for this material.
A material master record must exist in the system for the material to be produced. It requires a material type that is allowed for assignment to a routing or rate routing.
Material Assignment — Scenarios
Materials can be linked to routings for the following scenarios:
- You can use the same routing to produce several different materials. Each product has its own unique BOM but is manufactured by a common set of activities with the same standard times. For example, both red and green chairs can be produced using the same routing.
- The material and routing can belong to different plants. For example, the planning plant and production plant may not be the same.
Material assignment can be carried out in the following ways:
If you create a routing for a specific material, the system automatically performs the material assignment. No further settings are necessary, and for every order created the system identifies this routing assignment and uses the appropriate routing to create the order.
If you create a non-material-specific routing or a group routing, you can use the material assignment function. When you choose the Material Assignment button in the header of the routing, you can view a list of all the materials that are assigned to use this routing in order to produce them. Using this function allows you to assign more materials to the list. This also applies to using a routing created for one material to produce a different material. The assignment can be for a material in a different plant, which allows you to plan production in one plant and produce in another.
A production version specifies the production technique that can be used to produce a material. It specifies the BOM and routing used for production with date and lot size validities.
Component Allocation
Now let's have a look at the possible component allocation. Be aware of the following: you are able to predefine a routing and at a later stage you do the assignment of a material BOM.
The following data must exist in the system for component allocation:
- The operations in the routing
- The master record for the material to be produced
- The BOM for the material to be produced
Component Allocation and Material Assignment
You can assign and display material components for separate operations in the material component overview. For a clearer overview, you can use different criteria to filter or sort the material component list.
You perform the following actions for allocating components and assigning materials:
- Assign a new component.
- Delete and reassign material assignments.
- Navigate between multiple operations.
The system automatically assigns (default) material components in a BOM (that are not assigned to an operation in the routing) to the first operation when you create a production order.
You can assign each item on the BOM to only one operation. Items that have quantities of more than one and need to be assigned to more than one operation must be adjusted in the BOM to allow this type of allocation. For example, BOM item 10 has two pieces; one is used in operation 20 and the other in operation 40. This will require BOM item 10 to be split into two BOM items, each with a quantity of one, for example, item 10 and item 15. You can then allocate item 10 to operation 20 and item 15 to operation 40.
According to the item category of the assigned components, you can make further decisions about how they are to be processed, for example, backflushing of stock items or cutting the size of variable-size items.
By repeating this process, you can assign material components from several BOMs or alternative BOMs to the same routing. In this case, when you create a production order, you select the BOM and, therefore, the material components that need to be assigned in the production order. The system can do this automatically depending on the system settings.
Variable Size Item
When you maintain the BOM, the final measurements are specified for the items of a variable size.
If you require a large cutting measure for producing this BOM item, you can specify this when you assign the operation. Only those items involved in material staging are assigned these measurements. Inventory management reads the measurements from the BOM.
Create material assignments
Watch the video and understand material routing assignments.
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Generating method and application of basic probability assignment based on interval number distance and model reliability
- Soft computing in decision making and in modeling in economics
- Published: 01 November 2023
- Volume 28 , pages 2353–2365, ( 2024 )
Cite this article
- Junwei Li 1 ,
- Baolin Xie 1 na1 ,
- Yong Jin 1 na1 &
- Lin Zhou ORCID: orcid.org/0000-0002-2700-834X 1
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In the Dempster–Shafer (D–S) evidence theory, how to transform the objective data in reality into the basic probability assignment (BPA) is still an open issue. Based on this problem, a new method of generating BPA based on interval number distance model and reliability is proposed. First, construct the interval number model under each attribute. Second, calculate the interval number distance between the test sample and the interval number model and convert it into the initial basic probability assignment (IBPA). Thirdly, the final BPA is obtained by discounting the IBPA by constructing the comprehensive reliability from the static reliability and dynamic reliability of the interval number model. Finally, the Dempster combination rule is used to fuse the final BPA one by one, and the decision is made according to the fusion result. The ten-fold cross-validation results show that the classification accuracy under the three data sets is higher than other methods, and the classification accuracy of the Iris data set is 0.9733. At the same time, it is verified that the proposed method still has good effectiveness and robustness in the incomplete information environment.
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Acknowledgements
The work is partially supported by the National Natural Science Foundation of China (Grant No. 61771006), Programs for Science and Technology Development in Henan Province of China (Grant Nos. 222102210002, 222102210004) Key Research Projects of University in Henan Province of China (Grant Nos. 20B510001, 21A413002), Innovation and Quality Improvement Program Project for Graduate Education of Henan University (Grant No. SYL20060143).
The authors have not disclosed any funding.
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Baolin Xie and Yong Jin have contributed equally to this work.
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School of Artificial Intelligence, Henan University, Zhengzhou, 450046, Henan Province, China
Junwei Li, Baolin Xie, Yong Jin & Lin Zhou
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Li, J., Xie, B., Jin, Y. et al. Generating method and application of basic probability assignment based on interval number distance and model reliability. Soft Comput 28 , 2353–2365 (2024). https://doi.org/10.1007/s00500-023-09325-z
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IMAGES
VIDEO
COMMENTS
This section presents an example that shows how to solve an assignment problem using both the MIP solver and the CP-SAT solver. Example. In the example there are five workers (numbered 0-4) and four tasks (numbered 0-3).
Abstract. This study stems from a furniture factory producing products by cutting and splicing operations. We formulate the problem into an assignment-based model, which reflects the problem accurately, but is intractable, due to a large number of binary variables and severe symmetry in the solution space.
The value of time of each class differs by arc type and may depend on volumes (discomfort) like the travel time itself (congestion); these phenomena are the subjects of later Sects. 7.2, 7.3 and 7.4 and are essential in transit equilibrium models. The non-temporal cost is in turn the sum of several disutility components, including monetary costs and user preferences with respect to a large ...
Section snippets Model Formulation. In this section, we outline the model framework for the analysis. This framework enables us to represent the transit networks using OD-dependent route segments under the constraint that passengers will not consider routes with more than a certain number of transfers.
Section snippets Network representation. This section describes the basic concepts of transit assignment. A transit network is denoted by a graph G(N, A), where N is a set of nodes, and A is a set of arcs. The nodes comprise stop nodes, intermediate line nodes, and centroids, while the arcs comprise transit line segments (subdivided into in-vehicle arcs, boarding arcs, and alighting arcs) and ...
The aims of this paper is to clarify the theoretical aspects of the assignment problem and provide customization model that reduces the cost of resource allocation (Source) to a number of points ...
This paper presents a methodology to integrate two existing models: an activity-based model and a traffic assignment model, which are conceived as separately built and calibrated. Such a combination allows us to model the disaggregated interactions between supply and demand, which traditional modelling tools can frame only at the aggregate level (e.g. four-step models). An iterative method is ...
g max x,x0 ×g min x,x0 gðxÞ×g x0 The inequality in Equation 2 corresponds to the special case in which x[ðs0,gÞ and x0 [ðs,g0Þ. Accordingly, g is log-supermodular if and only if, for all i and j, g is supermodular in (x
260 5 Basic Static Assignment to Transportation Networks Fig. 5.1 Schematic representation of assignment models assignment,1 represents equilibrium configurations of the system, that is, configura- tions in which demand, path, and link flows are consistent with the costs that they
A new method to solve assignment models 2665 The cost matrix (Cij) is given as under. [7] Figure (2): Matrix of Costs Let the cost of i th persons assigned to j jobs be represent by c ij. Let the number of unites by assignment the persons i th to a jobs j be represent by X
Moreover, it has been argued that other knowledge representation schemes can be transformed to rule-based (Nilsson, 1982; Sun, 1995). Rule-based systems are usually constructed from human knowledge in the form of IF-THEN rules and have been widely applied in fields of artificial intelligence and decision support systems (Azibi & Vanderpooten, 2002; Ligeza, 2006; Negnevitsky, 2005).
Activity-Based Model with Dynamic Traffic Assignment and Consideration of Heterogeneous User Preferences and Reliability Valuation: Application to Toll Revenue Forecasting in Chicago, Illinois
INTEGRATION OF ACTIVITY-BASED MODELING AND DYNAMIC TRAFFIC ASSIGNMENT Dung-Ying Lin* The University of Texas at Austin, Department of Civil, Architectural & Environmental Engineering
This study comprehensively review two well-known graphical transit assignment models from the literature based on the hypergraph theory by Spiess and Florian (1989) and the section transit network representation of De Cea and Fernandez (1993).
The shared autonomous vehicle (SAV) system is considered as an efficient transportation mode in the future. In the literature, optimization of SAV systems has been extensively studied. However, SAV systems could bring greater social benefits if we could use them with existing public transportation systems, such as bus rapid transit (BRT), in an integrated manner. This study proposes a model of ...
Multiagent dynamic task assignment of forest fires is a complicated optimization problem because it requires the consideration of multiple factors, such as the spread speed of fires, firefighting speed of agents, the movement speed of agents, and the number of deployed agents. In this article, we investigate multiagent dynamic task assignment based on a forest fire point model, the objective ...
The authors present an analysis of the integration between ABM and Multimodal Assignment. • The study concerns both the external (integration procedure) and internal (multimodal assignment) convergence.
178 Information Retrieval Journal (2021) 24:175-204 1 3 into two processes: selecting the most suitable reviewers for a manuscript and deter-mining the most suitable reviewers for many manuscripts in the case of restrictions.
Abstract. In dynamic traffic assignment (DTA) models, it seems relevant to consider the uncertainty inherent to motorist route choices. Particularly, choices on realistic transport networks are mostly made using motorists' perceived costs of all routes from their origins to their destinations.
The testing scenario is that a 50% capacity reduction on Link 1 takes place at day 0. Applying the discrete version of our link-based model, we have two parameters, the step-size α in (15) and the weight parameter λ in problem (9).We first set constant α = 0.7 and λ = 0.7 to show an application of the model. Fig. 4 shows the flow evolutions of five links (Links 1-3 and Links 10 and 12 ...
Highlights •A VI formulation is developed for the bounded choice model.•A novel mapping is devised for the VI formulation, where all used paths have the same mapping value.•The VI allows using the ...
3.1 The Fundamentals of Prompt Learning. Since GPT, EMLO, and Bert's successive proposals, the model of pre-trained model plus fine-tuning has been widely used in many natural language tasks, which starts with pre-training a language model on a large-scale unsupervised corpus in the pre-training stage, and then fine-tuning again the model based on the trained language model on specific ...
You use the material assignment function to determine which material is to be produced with a routing or rate routing. Based on this assignment, the routing can be used for sales and operations planning, material requirements planning, production order creation, and product costing for this material.
Highlights The frequency-based transit assignment method is transferred to containers. Full containers are assigned to routes to minimize sailing plus dwell time. Empty containers are repositioned to minimize sailing plus discounted dwell time. The number of container moves per unit time at any port is limited to port capacity. Dual variables define surcharges for loading or unloading a ...
In the Dempster-Shafer (D-S) evidence theory, how to transform the objective data in reality into the basic probability assignment (BPA) is still an open issue. Based on this problem, a new method of generating BPA based on interval number distance model and reliability is proposed. First, construct the interval number model under each attribute. Second, calculate the interval number ...