文章基本信息

标题：Vendor managed inventory in multi level supply chain
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作者：Bani-Asadi, H. ; Zanjani, H.
期刊名称：Decision Science Letters
印刷版ISSN：1929-5804
电子版ISSN：1929-5812
出版年度：2017
卷号：6
期号：1
页码：67-76
DOI：10.5267/j.dsl.2016.7.001
语种：English
出版社：Growing Science Publishing Company
摘要：Vendor managed inventory (VMI) is one of the most effective methods for reducing bullwhip effect. This paper presents a mathematical VMI model where there are three levels of central storage, multi distribution centers and various retailors. The problem is formulated as a mixed integer programming by considering uncertainty on different input parameters. To cope with uncertainty, the study uses rectangular fuzzy numbers. We also propose two metaheuristics; namely, genetic algorithm and particle swarm optimization to solve the resulted problems for some large instances. The preliminary results have indicated that genetic algorithm could solve the proposed model faster than particle swarm optimization in terms of CPU time reaching to slightly better objective functions.
关键词：Supply chain management;Vendor management inventory;Particle swarm optimization;Genetic algorithm