Genetic Algorithm approach to optimize vendor-buyer deteriorating inventory model under partial backordering

被引：0

作者：

Widyadana, I. Gede Agus ^{[1
]}

Wee, Hui Ming ^{[1
]}

Teng, Hui Ming ^{[1
]}

机构：

[1] Chung Yuan Christian Univ, Dept Ind & Syst Engn, Chungli 32023, Taiwan

来源：

PROCEEDINGS OF THE SECOND INTERNATIONAL CONFERENCE ON OPERATIONS AND SUPPLY CHAIN MANAGEMENT | 2008年

关键词：

supply chain; vendor-buyer collaboration; partial backorder; deteriorating item; genetic algorithm;

D O I：

暂无

中图分类号：

F [经济];

学科分类号：

02 ;

摘要：

This study evaluates the affect supply chain collaboration system. The deteriorating inventory model with one vendor and one buyer under partial backordering is developed and solved using Genetic Algorithm method. An example is illustrated to demonstrate the model and sensitivity analysis is accomplished to evaluate the affect of partial backorder percentage, backorder cost and shortage cost. We have shown that the percentage of partial backorder is the most sensitive parameter to the profit of the supply chain.

引用

页码：245 / 249

页数：5

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