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On solving the cross-dock door assignment problem

delete2023-03-01
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OA
AI
L
Laureano F. Escudero *
M
María Araceli Garín Martín
A
Aitziber Unzueta
DOI:10.1080/00207543.2023.2180307delete
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摘要

摘要

En 中文
A class of strong lower bounds on the solution value of a Linearised Integer Programming reformulation is introduced for the binary quadratic optimisation model to assign origin and destination nodes to strip and stack doors, resp., in a cross-dock infrastructure. The goal is to minimise the transportation cost of the commodities to be handled at the cross-dock. Strip- and stack-related decomposition submodels are developed by taking benefit of the Integer Linearisation Property that appears in the new model. A linear search heuristic is also provided for obtaining feasible solutions by exploiting the special structure of the problem. We present an extensive computational study on a testbed of 55 instances to show that the proposed joint scheme for lower bounding and feasible solution providing is very efficient. The results obtained by our proposal are similar to those obtained by CPLEX in the 50 instances taken from the literature, but usually the time is much smaller for the large instances. The comparison with CPLEX is particularly good for the new five largest instances, which make it very promising for its application in real-life cases.
Keyword:
Supply chain distribution
cross-docking
decomposition
decoupling
heuristic algorithms

期刊

International Journal of Production Research 封面图
International Journal of Production Research
IF:
7.3
论文数:
1.1W
被引数:
3.7W

机构

U
Universidad Rey Juan Carlos
学者数:
6.2K
论文数: 6.2K
被引数: 6.7K
U
university of basque country
学者数:
1.9W
论文数: 1.6W
被引数: 17
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