Figure 12. Matrix model of the assignment problem.

The network model is in Fig. 13. It is very similar to the transportation model except the external flows are all +1 or -1. The only relevant parameter for the assignment model is arc cost (not shown in the figure for clarity) ; all other parameters should be set to default values. The assignment network also has the bipartite structure.

Figure 13. Network model of the assignment problem.

The solution to the assignment problem as shown in Fig. 14 has a total flow of 1 in every column and row, and is the assignment that minimizes total cost.

Figure 14. Solution to the assignment Problem

 

assignment model in operation research pdf

  • Operations Research

A Model-Based Approach

  • © 2010
  • 1st edition
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  • H. A. Eiselt 0 ,
  • Carl-Louis Sandblom 1

Faculty of Business Administration, University of New Brunswick, Fredericton, Canada

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Dept. Industrial Engineering, Dalhousie University, Halifax, Canada

  • Covers the standard operations research techniques
  • Presents an approach to operations research that is heavily based on modeling and makes extensive use of sensitivity analyses
  • Emphasis is on getting insight into problems, rather than computing solutions

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Introduction to Optimization

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Necessary condition analysis (NCA): review of research topics and guidelines for good practice

  • Industrial Engineering
  • Management Science
  • Optimization
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Table of contents (13 chapters)

Front matter, introduction to operations research.

  • H. A. Eiselt, C. -L. Sandblom

Linear Programming

Multiobjective programming, integer programming, network models, location models, project networks, machine scheduling, decision analysis, inventory models, stochastic processes and markov chains, waiting line models, back matter.

From the reviews:

“This course resource by Eiselt … is an introduction to operations research at the undergraduate level. The book introduces a wide variety of deterministic and stochastic operations research models, including linear and integer programming, network flows, facility location problems, machine scheduling problems, inventory models, queuing models, and discrete event simulation models. … Summing Up: Recommended. Business and industrial engineering collections serving upper-division undergraduates.” (B. Borchers, Choice, Vol. 48 (3), November, 2010)

“The book gives an overview of the operations research models applied in many practical problems. … The book is a great contribution to the OR models’ application and can be a significant help to the decision makers.”­­­ (Kristina Šorić, Zentralblatt MATH, Vol. 1198, 2010)

Authors and Affiliations

H. A. Eiselt

Carl-Louis Sandblom

Bibliographic Information

Book Title : Operations Research

Book Subtitle : A Model-Based Approach

Authors : H. A. Eiselt, Carl-Louis Sandblom

DOI : https://doi.org/10.1007/978-3-642-10326-1

Publisher : Springer Berlin, Heidelberg

eBook Packages : Business and Economics , Business and Management (R0)

Copyright Information : Springer-Verlag Berlin Heidelberg 2010

eBook ISBN : 978-3-642-10326-1 Published: 17 May 2010

Edition Number : 1

Number of Pages : XII, 448

Number of Illustrations : 162 b/w illustrations

Topics : Operations Research/Decision Theory , Optimization , Engineering, general , Operations Research, Management Science , Engineering Economics, Organization, Logistics, Marketing

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THE LITERATURE REVIEW FOR ASSIGNMENT AND TRANSPORTATION PROBLEMS.

Profile image of IJAR  Indexing

Operations Research is a logical learning through interdisciplinary collaboration to determine the best usage of restricted assets. In this paper, the importance of Operations research is discussed and the literature of assignment and transportation problem is discussed in detail.

Related Papers

IJIRT Journal

This study discusses the current scenario of Operations Research in the field of Logistics. Five sectors are considered in the study to form a brief understanding of how they use Operations Research techniques and why these techniques are used. Operation research technique help in reducing cost and improve decision making.

assignment model in operation research pdf

Rabindra Mondal

A transportation problem basically deals with the problem, which aims to find the best way to fulfil the demand of n demand points using the capacities of m supply points. Here we studied a new method for solving transportation problems with mixed constraints and described the algorithm to find an optimal more-for-less (MFL) solution. The optimal MFL solution procedure is illustrated with numerical example and also computer programming. Though maximum transportation problems in real life have mixed constraints, these problems are not be solved by using general method. The proposed method builds on the initial solution of the transportation problem which is very simple, easy to understand and apply.

Optimization

Hossein Arsham

The family of network optimization problems includes the following prototype models: assignment, critical path, max flow, shortest path, and transportation. Although it is long known that these problems can be modeled as linear programs (LP), this is generally not done. Due to the relative inefficiency and complexity of the simplex methods (primal, dual, and other variations) for network models, these problems are usually treated by one of over 100 specialized algorithms. This leads to several difficulties. The solution algorithms are not unified and each algorithm uses a different strategy to exploit the special structure of a specific problem. Furthermore, small variations in the problem, such as the introduction of side constraints, destroys the special structure and requires modifying andjor restarting the algorithm. Also, these algorithms obtain solution efficiency at the expense of managerial insight, as the final solutions from these algorithms do not have sufficient information to perform postoptimality analysis.Another approach is to adapt the simplex to network optimization problems through network simplex. This provides unification of the various problems but maintains all the inefficiencies of simplex, as well as, most of the network inflexibility to handle changes such as side constraints. Even ordinary sensitivity analysis (OSA), long available in the tabular simplex, has been only recently transferred to network simplex.This paper provides a single unified algorithm for all five network models. The proposed solution algorithm is a variant of the self-dual simplex with a warm start. This algorithm makes available the full power of LP perturbation analysis (PA) extended to handle optimal degeneracy. In contrast to OSA, the proposed PA provides ranges for which the current optimal strategy remains optimal, for simultaneous dependent or independent changes from the nominal values in costs, arc capacities, or suppliesJdemands. The proposed solution algorithm also facilitates incorporation of network structural changes and side constraints. It has the advantage of being computationally practical, easy for managers to understand and use, and provides useful PA information in all cases. Computer implementation issues are discussed and illustrative numerical examples are provided in the Appendix For teaching purposes you may try: Refined Simplex Algorithm for the Classical Transportation Problem with Application to Parametric Analysis, Mathematical and Computer Modelling, 12(8), 1035-1044, 1989. http://home.ubalt.edu/ntsbarsh/KahnRefine.pdf

Journal of Applied Mathematics and Decision Sciences

In a fast changing global market, a manager is concerned with cost uncertainties of the cost matrix in transportation problems (TP) and assignment problems (AP).A time lag between the development and application of the model could cause cost parameters to assume different values when an optimal assignment is implemented. The manager might wish to determine the responsiveness of the current optimal solution to such uncertainties. A desirable tool is to construct a perturbation set (PS) of cost coeffcients which ensures the stability of an optimal solution under such uncertainties. The widely-used methods of solving the TP and AP are the stepping-stone (SS) method and the Hungarian method, respectively. Both methods fail to provide direct information to construct the needed PS. An added difficulty is that these problems might be highly pivotal degenerate. Therefore, the sensitivity results obtained via the available linear programming (LP) software might be misleading. We propose a unified pivotal solution algorithm for both TP and AP. The algorithm is free of pivotal degeneracy, which may cause cycling, and does not require any extra variables such as slack, surplus, or artificial variables used in dual and primal simplex. The algorithm permits higher-order assignment problems and side-constraints. Computational results comparing the proposed algorithm to the closely-related pivotal solution algorithm, the simplex, via the widely-used pack-age Lindo, are provided. The proposed algorithm has the advantage of being computationally practical, being easy to understand, and providing useful information for managers. The results empower the manager to assess and monitor various types of cost uncertainties encountered in real-life situations. Some illustrative numerical examples are also presented."

IJAR Indexing

Assignment problems deal with the question how to assign n objects to m other objects in an injective fashion in the best possible way. An assignment problem is completely specified by its two components the assignments, which represent the underlying combinatorial structure, and the objective function to be optimized, which models \\\\\\\"the best possible way\\\\\\\". The assignment problem refers to another special class of linear programming problem where the objective is to assign a number of resources to an equal number of activities on a one to one basis so as to minimize total costs of performing the tasks at hand or maximize total profit of allocation. In this paper we introduce a new technique to solve assignment problems namely, Divide Row Minima and Subtract Column Minima .For the validity and comparison study we consider an example and solved by using our technique and the existing Hungarian (HA) and matrix ones assignment method(MOA) and compare optimum result shown graphically.

ام محمد لا للشات

The problem of finding the initial basic feasible solution of the Transportation Problem has long been studied and is well known to the research scholars of the field. So far three general methods for solving transportation methods are available in literature, namely Northwest, Least Cost and Vogel?s Approximation methods. These methods give only initial feasible solution. However here we discuss a new alternative method which gives Initial feasible solution as well as optimal or nearly optimal solution. In this paper we provide an alternate method to find IBFS (Initial Basic Feasible Solution) and compared the alternate method and the existing IBFS methods using a Graphical User Interface. It is also to be noticed that this method requires lesser number of iterations to reach optimality as compared to other known methods for solving the transportation problem and the solution obtained is as good as obtained by Vogel?s Approximation Method (VAM).

Omega-international Journal of Management Science

Krzysztof Kowalski

nikky kumari

A new method called zero point method is proposed for finding an optimal solution for transportation problems with mixed constraints in a single stage. Using the zero point method, we propose a new method for finding an optimal more-for-less solution for transportation problems with mixed constraints. The optimal more-for-less solution procedure is illustrated with numerical examples. Mathematics Subject Classifications: 90C08 , 90C90

Handbooks in Operations Research and Management Science

George Nemhauser

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Research on a vibration model of a superstructure under the vibration load of metro trains.

assignment model in operation research pdf

1. Introduction

2. methodology, 2.1. modeling of vehicle–track interaction dynamics, 2.2. development of a three-dimensional finite element model for analyzing track structures, surrounding strata, and building interactions, 3. field testing and model verification processes, 3.1. overview of test sites, 3.2. evaluation indicators, 3.3. model validation, 4. refined prediction of structural vibrations and secondary noise in building structures, 4.1. influence zone of the pharyngeal area’s upper lid, 4.2. impact radius of the test line, 4.3. impact assessment of maintenance and material depots, and loading/unloading lines, 5. conclusions, author contributions, data availability statement, conflicts of interest.

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Click here to enlarge figure

ProjectVehicle Model
Bogie Wheelbase2.3 m
Vehicle Spacing12.6 m
Conductor19.52 m
Body mass42,600 kg
Moment of Inertia of the Car Body1,262,000 kg∙m
Two-series suspension stiffness480 kN/m
Two-Series Suspension Damping60 kN∙s/m
Bogie Mass2550 kg
Moment of Inertia of the Bogie2410 kg∙m
A series of suspension stiffness1500 kN/m
Two-series suspension stiffness5 kN∙s/m
Wheelset Mass1760 kg
Model StructureModulus of Elasticity E (MPa)Poisson’s RatioDensity (kg/m )
orbit210,0000.257850
sleeper30,0000.22400
The upper level of the tunnel bed3000.351800
Lower level of the tunneling bed3000.352200
Soil LayerThickness (m)Density (kg/m )Dynamic Elastic Modulus (MPa)Dynamic
Poisson’s Ratio
Shear Wave Velocity (m/s)Damping Ratio
Artificial soil1.51830202.50.471190.00.03
Mucky soil23.51640145.80.475162.00.03
Sand layer41800201.50.470225.40.03
Sandstone 2200372.10.442240.20.03
Screening and Evaluation of Buildings within the
Affected Area: Number and Function
Vibration SourcePreliminary Predictions of Maximum Z-Axis Vibration Levels (dB)Refined Predictions of Maximum Z-Axis
Vibration Levels (dB)
Educational Buildings: 2–3 Story Superstructures, etc.
Commercial area: 1~2 story superstructure
Throat area81.979.2
Residential: 17 story superstructuretesting line70.571.7
School: 2~3 story superstructure75.876.6
Residential: 17 story superstructureMaintenance warehouse76.275.8
The statements, opinions and data contained in all publications are solely those of the individual author(s) and contributor(s) and not of MDPI and/or the editor(s). MDPI and/or the editor(s) disclaim responsibility for any injury to people or property resulting from any ideas, methods, instructions or products referred to in the content.

Share and Cite

Liu, Y.; Xu, H.; Xia, W.; Cai, W.; Zheng, S. Research on a Vibration Model of a Superstructure under the Vibration Load of Metro Trains. Buildings 2024 , 14 , 2342. https://doi.org/10.3390/buildings14082342

Liu Y, Xu H, Xia W, Cai W, Zheng S. Research on a Vibration Model of a Superstructure under the Vibration Load of Metro Trains. Buildings . 2024; 14(8):2342. https://doi.org/10.3390/buildings14082342

Liu, Yang, Haodong Xu, Wei Xia, Wenfeng Cai, and Senlin Zheng. 2024. "Research on a Vibration Model of a Superstructure under the Vibration Load of Metro Trains" Buildings 14, no. 8: 2342. https://doi.org/10.3390/buildings14082342

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COMMENTS

  1. PDF Unit 4: ASSIGNMENT PROBLEM

    The assignment model is actually a special case of the transportation model in which the ... Cn1 Cn2 ----- Cmn Unit 4: ASSIGNMENT PROBLEM OPERATIONS RESEARCH 44. 2 The cost of transporting workers I to job j is Cij. The assignment model can be solved directly as a regular transportation model. The fact that all the supply and demand amounts ...

  2. PDF Module 4: Transportation Problem and Assignment problem

    Prasad A Y, Dept of CSE, ACSCE, B'lore-74. Page 33. Module 4: Transportation Problem and Assignment problem. This means that programmer 1 is assigned programme C, programmer 2 is assigned programme A, and so on. The minimum time taken in developing the programmes is = 80 + 80 + 100 + 90 = 350 min.

  3. PDF ASSIGNMENT PROBLEM

    ASSIGNMENT PROBLEM Consider an assignment problem of assigning n jobs to n machines (one job to one machine). Let c ij be the unit cost of assigning ith machine to the jth job and,ith machine to jth job. Let x ij = 1 , if jth job is assigned to ith machine. x ij = 0 , if jth job is not assigned to ith machine. K.BHARATHI,SCSVMV. ASSIGNMENT ...

  4. Models

    Matrix model of the assignment problem. The network model is in Fig. 13. It is very similar to the transportation model except the external flows are all +1 or -1. The only relevant parameter for the assignment model is arc cost (not shown in the figure for clarity) ; all other parameters should be set to default values.

  5. PDF A New Method to Solve Assignment Models

    In the proposed model use the graph theory depends of the assignment model and according to the following steps: 1. Converting the problem into a graph theory according to the general formulation of the assignment model. 2 - Choose the lowest cost between workers and tasks. 3. Delete the selected edge as well as the nods associated with edge.

  6. PDF Unit I

    ENTS OF OPERATION RESEARCH - SBAA1305INTRODUCTIONThe subject OPERATIONS RESEARCH is a branch of mathematics - specially applied mathematics, used to provide a scientific base for management to tak. timely and effective decisions to their problems.Operation Research is an analytical method of problem solving and decision making.

  7. Operational Research: Methods and Applications

    Operations research is neither a method nor a technique; it is or is becoming a science and as such is defined by a combination of the phenomena it studies. Ackoff(1956) Abstract Throughout its history, Operational Research has evolved to include a variety of methods, models and al-gorithms that have been applied to a diverse and wide range of ...

  8. A Comparative Analysis of Assignment Problem

    Tables 2, 3, 4, and 5 present the steps required to determine the appropriate job assignment to the machine. Step 1 By taking the minimum element and subtracting it from all the other elements in each row, the new table will be: Table 2 represents the matrix after completing the 1st step. Table 1 Initial table of a.

  9. PDF OPERATIONS RESEARCH TECHNIQUES

    Operations Research (O.R.) is a discipline that provides scientific methods for the purpose of solving real life problems that helps us in determining the best utilization of limited resources. Here we study about optimization techniques. In everyday life, we observe many situations of optimization around us.

  10. PDF OPERATIONS RESEARCH

    Theorem 2.2: If an assignment problem with cost (cij >0) is such that minimum ∑n i=1 ∑n j=1cijxij =0 then (xij) provides an optimal assignment. Proof: The proof is left as an exercise. 2.2 Hungarian Method for Solving Assignment Problem The Hungarian method is an efficient method for finding the optimal solution of an assignment problem.

  11. PDF Introduction to Operations Research

    Operations Research (OR) is the study of mathematical models for complex organizational systems. Optimization is a branch of OR which uses mathematical techniques such as linear and nonlinear programming to derive values for system variables that will optimize performance. Introduction to Operations Research - p.5

  12. (PDF) A New Method to Solve Assignment Models

    models the source is connected to one or more of destination. The most common. method to solve assignment models is the Hungarian metho d. In this paper. introduced another method to solve ...

  13. PDF UNIT 5 ASSIGNMENT PROBLEMS

    the Assignment problem and discuss various methods for solving it. The assignment problem deals with allocating various resources (items) to various activities (receivers) on a one to one basis, i.e., the number of operations are to be assigned to an equal number of operators where each operator performs only one operation.

  14. (PDF) Operational Research: Methods and Applications

    of two main sections: methods and applications. The first aims to summarise the up-to-date knowledg e. and provide an overview of the state-of -the-art methods and key developments in the v ...

  15. PDF The Operations Research Problem Solving Process

    The last phase, interpretation, encompasses making a decision and developing implementation plans. The paragraphs below explain the seven elements of the operations research problem solving process in greater detail. The activities that take place in each element are illustrated through some of the tools or methods commonly used.

  16. PDF Operations Research

    1. Introduction to Operations Research 1 1.1 The Nature and History of Operations Research 1 1.2 The Main Elements of Operations Research 4 1.3 The Modeling Process 9 2. Linear Programming 13 2.1 Introduction to Linear Programming 13 2.2 Applications of Linear Programming 18 2.2.1 Production Planning 18 2.2.2 Diet Problems 20

  17. PDF Introduction to Operations Research

    alities and inequalities by (-1). Step 2: By introducing slack variables, surplus variables and artificial variables (non negative variables) in the equations the constra. s are expressed in standard form. Step 3: Assign (-1) to each artificial variable and a cost 0 to all other.

  18. The Literature Review for Assignment and Transportation Problems

    Operations Research is a logical learning through interdisciplinary collaboration to determine the best usage of restricted assets. In this paper, the importance of Operations research is discussed and the literature of assignment and transportation problem is discussed in detail.

  19. PDF Introduction to Operations Research

    2 CHAPTER 1. MATHEMATICAL MODELING BY EXAMPLE Constraints: •producing x1 toy soldiers and x2 toy trains requires (a) 1x1 +1x2 hours in the carpentry shop; there are 80 hours available (b) 2x 1 +1x2 hours in the finishing shop; there are 100 hours available •the number x1 of toy soldiers produced should be at most 40 Variable domains: the numbers x 1, x2 of toy soldiers and trains must be ...

  20. PDF UNIT 1 INTRODUCTION TO Introduction to Operations Research ...

    1.4 MODELS IN OPERATIONS RESEARCH A model in Operations Research is a mathematical or theoretical description of the various variables of a system representing the basic aspects or the most important features of a typical problem under investigation. The objective of the model is to identify the significant factors and interrelationships.

  21. PDF Federated Learning for Railway Safety Analysis and Prediction

    Research Project Funding: $44,113 (Federal), $2 8,056 (Non-Federal Cost Share) Project Start and End Date: 06/01/2024 to 08/31/2025 ... operations through data analytics and enhancing safety measures at railway crossings udriven sing data-approaches. In our previous work with our partner institution, the University of California Riverside (UCR), we

  22. Water Erosion Prediction Project (WEPP) Model 2024 Status

    The Water Erosion Prediction Project (WEPP) model has been developed by the United States Department of Agriculture since 1985. WEPP is a physical process-based simulation technology to estimate runoff, soil loss, and sediment yields from hillslope profiles, small watersheds, and fields. In this paper we will provide current science model status, recent updates including water quality ...

  23. Video generation models as world simulators

    We explore large-scale training of generative models on video data. Specifically, we train text-conditional diffusion models jointly on videos and images of variable durations, resolutions and aspect ratios. We leverage a transformer architecture that operates on spacetime patches of video and image latent codes. Our largest model, Sora, is capable of generating a minute of high fidelity video.

  24. Economic and Institutional Factors Influencing the Selection of Project

    Research Article. Economic and Institutional Factors Influencing the Selection of Project Delivery Models for Built Heritage Conservation in India ... Transaction cost framework for selection of project delivery model (adapted from Aubert, Rivard and Patry, a transaction cost approach, 54). Display full size. 22. Cheung, Yiu and Chim, op. cit ...

  25. Buildings

    In view of the problem that vibration of superstructures under vibration loads of metro trains causes, this research used a metro depot and superstructure project as its background and proposed a numerical simulation method based on the impedance analytical model and finite element model to simulate and predict the vibration and secondary noise response of subway trains affecting multi-story ...