An improved genetic algorithm for collaborative supply problem in supply chain

被引：0

作者：

Peng, Yang ^{[1
]}

Chen, Huaping ^{[1
]}

Fu, PeiHua ^{[1
]}

机构：

[1] Univ Sci & Technol China, Sch Management, Hefei 230031, Peoples R China

来源：

Fifth Wuhan International Conference on E-Business, Vols 1-3: INTEGRATION AND INNOVATION THROUGH MEASUREMENT AND MANAGEMENT | 2006年

关键词：

collaborative supply; genetic algorithm; optimization; supply chain;

D O I：

暂无

中图分类号：

F [经济];

学科分类号：

02 ;

摘要：

In this article, a model for collaborative supply problem in supply chain of multi-supplier/deposit, multi-product, multi-demander is presented. To solve this complex combinational optimization problem, a developed Genetic Algorithm, by designing appropriate code and operator, is discussed. Finally, a case study shows its applicability and validity.

引用

页码：2184 / 2189

页数：6

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