Research on Multi-echelon Supply Chain Networks Structure Optimization Based on Genetic Algorithm

被引：1

作者：

Qi, Dexin ^{[1
]}

Liu, Yongxian ^{[1
]}

Shang, Xuelai ^{[2
]}

机构：

[1] Northeastern Univ, Sch Mech Engn & Automat, Shenyang 110004, Peoples R China

[2] Vocat Tech Coll, Liaoning Informat, Liaoyang 111000, Liaoning, Peoples R China

来源：

ICNC 2008: FOURTH INTERNATIONAL CONFERENCE ON NATURAL COMPUTATION, VOL 1, PROCEEDINGS | 2008年

关键词：

D O I：

10.1109/ICNC.2008.847

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

Genetic algorithm is the random-search one based on biology evolution mechanism, it has well robustness, flexibility and universal property. In this article, the multi-echelon supply chain networks structure model based on customers demand uncertainty is established which contains supplier factory, storehouse, distribution center and customer The feasibility and validity of the model and algorithm have been validated in this article.

引用

页码：650 / +

页数：2

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