期刊
TRANSPORTATION RESEARCH PART E-LOGISTICS AND TRANSPORTATION REVIEW
卷 46, 期 5, 页码 582-597出版社
PERGAMON-ELSEVIER SCIENCE LTD
DOI: 10.1016/j.tre.2009.06.005
关键词
Distribution network; Integrated supply chain design; Facility location; Inventory control; Vehicle routing; Capacity level
This paper for the first time presents a novel model to simultaneously optimize location, allocation, capacity, inventory, and routing decisions in a stochastic supply chain system. Each customer's demand is uncertain and follows a normal distribution, and each distribution center maintains a certain amount of safety stock. To solve the model, first we present an exact solution method by casting the problem as a mixed integer convex program, and then we establish a heuristic method based on a hybridization of Tabu Search and Simulated Annealing. The results show that the proposed heuristic is considerably efficient and effective for a broad range of problem sizes. (C) 2009 Published by Elsevier Ltd.
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