Integrated inventory-transportation model by synchronizing delivery and production cycles

被引:27
作者
Lee, Y. C. E. [1 ]
Chan, Chi Kin [1 ]
Langevin, A. [2 ,3 ]
Lee, H. W. J. [1 ]
机构
[1] Hong Kong Polytech Univ, Dept Appl Math, Hong Kong, Hong Kong, Peoples R China
[2] Ecole Polytech Montreal, CIRRELT, Montreal, PQ, Canada
[3] Ecole Polytech Montreal, Dept Math & Ind Engn, Montreal, PQ, Canada
关键词
Supply chain management; Inventory-transportation; Vehicle routing; Genetic algorithm; Simulated annealing; Adaptive large neighborhood search; LARGE NEIGHBORHOOD SEARCH; VEHICLE-ROUTING PROBLEM; JOINT REPLENISHMENT PROBLEM; HEURISTIC ALGORITHMS; SUPPLY CHAIN; FREIGHT; VENDOR; POLICIES; SINGLE; COORDINATION;
D O I
10.1016/j.tre.2016.03.017
中图分类号
F [经济];
学科分类号
02 ;
摘要
This paper develops an integrated single-vendor multi-buyer inventory-transportation synchronized supply chain model. In this paper, the decisions of truck assignment and routing are also considered and as a result, a series of vehicle routing problems (VRP) are required to be solved. Due to the highly complicated objective function and the NP-hard VRP problems, the problem cannot be solved analytically. Hence, meta heuristics are proposed. By means of the numerical examples and a case study, the meta-heuristics developed are shown to be very effective in solving such comprehensive supply chain models, and the results so obtained are promising. (C) 2016 Elsevier Ltd. All rights reserved.
引用
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页码:68 / 89
页数:22
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