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
收藏
页码：2184 / 2189
页数：6
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