Base on CIMS's enterprise distribution network design

被引:0
|
作者
Tian, Q [1 ]
Miao, LX [1 ]
Zheng, L [1 ]
Xu, QQ [1 ]
机构
[1] Tsing Hua Univ, Res Ctr Modern Logist, Grad Sch Shenzhen, Shenzhen 518055, Peoples R China
关键词
distribution networks; logistics expenses; location-allocation problems; genetic algorithms;
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
In order to explore the enterprise distribution network design by dynamic programming, put forwarded the basic structural model and the decision-making problems, also studied it used transportation planning and combined Genetic Algorithms. It proves that the Transportation planning could show the flexibility and effectiveness in designing small-scale distribution networks; while combined Genetic Algorithms could improve the accuracy and efficiency when the scale of networks is greatly enlarged. Therefore, dynamic programming could be used to solve the multi-stage distribution networks design. Meanwhile, it built a nonlinear expression of storage & transport cost in solving logistics cost scale economy, and successfully applied it to the multi-stage distribution networks design.
引用
收藏
页码:304 / 307
页数:4
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