Design and Optimization of Cluster Supply Chain Based on Genetic Algorithm

被引：0

作者：

Liu, Chunling ^{[1
]}

Chen, Jingyi ^{[1
]}

Yuan, Aping ^{[1
]}

机构：

[1] Wuhan Univ Sci & Engn, Sch Elect & Informat, Wuhan, Peoples R China

来源：

PROCEEDINGS OF INTERNATIONAL SYMPOSIUM ON COMPUTER SCIENCE AND COMPUTATIONAL TECHNOLOGY (ISCSCT 2009) | 2009年

关键词：

supply chain management; Genetic algorithm; inventory management; across-chain coordination;

D O I：

暂无

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

Recent researches regarding supply chain design mainly focus on a limited tier in single supply chain, which only take into account vertical cooperation and ignore the across-chain horizontal one. This paper, based on cluster supply chain, provides a novel framework and approach to design cluster supply chain without across-chain horizontal cooperation, then by introducing item allocation proportion of vertical and horizontal cooperation, the cluster supply chain design with across-chain horizontal cooperation is developed, then presents a hybrid method to find solution, at last, computational study is presented to investigate values of decision variables and their influence on cluster supply chain design.

引用

页码：423 / 426

页数：4

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