A Multi-Objective Optimization Algorithm for the Integrated Product Line Selection and Supply Chain Configuration Problem With Quality Considerations

被引：0
作者：
Gaper, Yomna H. [1 ]
Abdelsalam, Hisham M. [1 ]
机构：
[1] Cairo Univ, Operat Res & Decis Support, Cairo, Egypt
来源：
10TH IEEE INTERNATIONAL CONFERENCE ON SERVICE OPERATIONS AND LOGISTICS, AND INFORMATICS SOLI 2015 | 2015年
关键词：
product platform development; product line selection; supply chain configuration; archived multi-objective simulated annealing; DESIGN; ARCHITECTURE;
D O I：
暂无
中图分类号：
TP301 [理论、方法];
学科分类号：
081202 ;
摘要：
The integration of product platform development and supply chain configuration decisions is a problem that must be resolved in order to achieve mass customization. This paper extends a mathematical model formulated for this problem and introduces quality as a third dimension in addition to cost and revenue. A multi-objective simulated annealing algorithm (AMOSA) is proposed and implemented to solve the model in a way that provides the decision maker with a wider view of alternatives rather than a single solution.
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收藏
页码：165 / 170
页数：6
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