Inventory management with supplier selection problem: supply uncertainty

被引：0
|
作者：
Aouadni, Sourour [1 ]
Rebai, Abdelwaheb [1 ]
机构：
[1] Univ Sfax, MODILS, FSEG, Sfax 3018, Tunisia
来源：
2013 5TH INTERNATIONAL CONFERENCE ON MODELING, SIMULATION AND APPLIED OPTIMIZATION (ICMSAO) | 2013年
关键词：
Supplier Selection; Inventory lot-sizing; Order quantities; Supply uncertainty; Mixed integer programming; genetic algorithm;
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：
Supply uncertainty can have a very radical impact on firms who fail to protect against it. It appears that the quantity delivered by the supplier is random. In this paper, we develop a mixed integer non linear programming model for a mono-item multi-period inventory management decision and supplier selection problem under random yield. The yield of supplier is random. The buyer needs to answer three questions: how much to command? what is supplier selected? and in which period? The complexity of this problem is NP-hard. We used a genetic algorithm (GA) to solve this problem.
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页数：5
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