A Truck Loading Problem
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Date
2010
Authors
Journal Title
Journal ISSN
Volume Title
Publisher
Pergamon-elsevier Science Ltd
Open Access Color
Green Open Access
No
OpenAIRE Downloads
OpenAIRE Views
Publicly Funded
No
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.
Description
Keywords
Loading Problem, Milp, Weighted Distribution Problem
Fields of Science
0211 other engineering and technologies, 0202 electrical engineering, electronic engineering, information engineering, 02 engineering and technology
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
WoS Q
Q1
Scopus Q
Q1

OpenCitations Citation Count
11
Source
Computers & Industrial Engineering
Volume
58
Issue
4
Start Page
766
End Page
773
PlumX Metrics
Citations
CrossRef : 2
Scopus : 18
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Mendeley Readers : 28
SCOPUS™ Citations
18
checked on Feb 24, 2026
Web of Science™ Citations
10
checked on Feb 24, 2026
Page Views
3
checked on Feb 24, 2026
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