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A Truck Loading Problem

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Date

2010

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Pergamon-elsevier Science Ltd

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Abstract

A vehicle with m compartments transports q different products of various sizes from a source to n different destinations. The operational problem is how to load the compartments of the vehicle so that the replenishment time is maximized for a given route of destinations. A mixed integer linear programming model is developed for this class of problems. An investigation of the structure of the model reveals that a subproblem can be obtained in the form of a weighted distribution problem. Consequently, a simple subalgorithm finds an integer solution to this subproblem. The main algorithm bisects the interval of uncertainty until it becomes sufficiently small. There is another subalgorithm to test whether a feasible solution exists in the final interval of uncertainty by solving a Phase I problem. Our numerical experience has shown its computational efficiency and the quality of the solutions obtained. A problem of size 30 can be solved by this method in a fraction of a second. Further, an optimal solution is obtained in 82% of the randomly chosen problems. (C) 2010 Elsevier Ltd. All rights reserved.

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Keywords

Loading Problem, Milp, Weighted Distribution Problem

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Citation

Yüceer, Ü., Özakça, A. (2010). A truck loading problem. Computers&Industrial Engineering, 58(4), 766-773. http://dx.doi.org/10.1016/j.cie.2010.02.008

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Q1

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Q1
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OpenCitations Citation Count
11

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Volume

58

Issue

4

Start Page

766

End Page

773
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CrossRef : 2

Scopus : 17

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Mendeley Readers : 28

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17

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Web of Science™ Citations

9

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