Research on Optimal Products Structure Decision of Supply Chain under Demand Uncertainty

被引：0

作者：

Pang, Hali ^{[1
]}

Zhou, Yawei ^{[1
]}

Hou, Bing ^{[1
]}

机构：

[1] Northeastern Univ, Coll Informat Sci & Engn, Shenyang, Liaoning Prov, Peoples R China

来源：

2008 7TH WORLD CONGRESS ON INTELLIGENT CONTROL AND AUTOMATION, VOLS 1-23 | 2008年

关键词：

supply chain; demands uncertainty; stochastic chance constraint programming; genetic algorithm;

D O I：

10.1109/WCICA.2008.4592816

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

Considering resources constraints of supply chain environment, a problem of products optimal decision under demand uncertainty was studied in this paper. Putting every component of supply chain such as suppliers, manufacturing plant, distribution centers and customers into an identical decision system, an integrated optimal stochastic chance constraint programming model with objective of maximum profit was presented. According to characteristics of the problem, a real number genome matrix encoding based genetic algorithm combining with stochastic sampling constraints verifying was proposed. A numeric example is performed and the results illustrate the feasibility and the effectiveness of proposed model and algorithm.

引用

页码：5807 / 5811

页数：5

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