Control policies in multi-echelon inventory systems with inventory-level-dependent demand rate

被引：0
|
作者：
Ma, Dongyi [1 ]
Wang, Li [2 ]
机构：
[1] Anshan Univ Sci & Technol, Sch Sci, Anshan 114044, Peoples R China
[2] Anshan Univ Sci & Technol, Sch Elect & Informat Engn, Anshan 114044, Peoples R China
来源：
WCICA 2006: SIXTH WORLD CONGRESS ON INTELLIGENT CONTROL AND AUTOMATION, VOLS 1-12, CONFERENCE PROCEEDINGS | 2006年
关键词：
echelon inventory; multi-echelon inventory control; series system; demand rate; particle swarm optimization;
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：
This paper presented an inventory model of series system with inventory-level-dependent demand rate for multi-echelon inventory management policy, which was based on the concept of echelon stock. Then a relaxation-particle swarm optimization algorithm (R-PSO) was proposed to solve the model, which integrated the serial-relaxation algorithm with the particle swarm optimization algorithm. This method overcomes the shortages of the traditional relaxation algorithm. Finally, a numerical example was given to illustrate the model and the algorithm efficient.
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页码：6484 / +
页数：2
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