Genetic Design of Integrated Manufacturing Supply Chains

被引：0
|
作者：
Su, W. [1 ]
Mak, K. L. [2 ]
Qiu, Bolan [1 ]
机构：
[1] Capital Univ Econ & Business, Dept Ind Engn, Beijing, Peoples R China
[2] Univ Hong Kong, Dept Ind & Mfg Syst Engn, Hong Kong, Hong Kong, Peoples R China
来源：
INDUSTRIAL ENGINEERING, MACHINE DESIGN AND AUTOMATION (IEMDA 2014) & COMPUTER SCIENCE AND APPLICATION (CCSA 2014) | 2015年
关键词：
Manufacturing Supply Chain; Mathematical Model; Genetic Algorithms; Optimization; PARTNER SELECTION;
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：
This paper presents a novel genetic approach to solving the partner selection, and production and distribution planning problem in manufacturing supply chain design. Such a problem often occurs when manufacturing companies establish partnerships to form a virtual organization in order to capture rising market opportunities. Results of solving a set of randomly generated case problems clearly show the excellent performance of the approach.
引用
收藏
页码：230 / 236
页数：7
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