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.

引用

页数：5

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