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Study on Multistage Multiobjective Network Location Problem Based on Greedy Heuristic Algorithm |
ZHU Wei-a, XU Ke-Lin-a, ZHOU Bing-Hai-a, XU Jin-Chao-b |
(a. College of Mechanical Engineering; b. College of Electronics and Information, Tongji University, Shanghai 201804, China) |
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Abstract To remedy the defects for lack of consideration of the demand change and customer satisfaction in many existing location models, this paper studied the problem under demand uncertainty and established a function which can measure customer’s satisfaction. With stochastic chance constrained programming approach, the study was extended to multiperiod decision area and a dynamic multistage multiobjective location model for distribution center (DC) was proposed. The problem objective was assessed by considering not only minimizing the cost during planning period, but also maximizing the customer satisfaction. To solve the model, this paper introduced a greedy heuristic algorithm based on assignment priority with high customer satisfaction. The computation results show that the noninferior solutions include the optimal solution of conventional location model which only seeks for minimization logistics cost, this model offers a more flexible and comprehensive decision support to distribution center location problem.
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Received: 10 January 2011
Published: 28 February 2012
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