Control Policies in Multi-echelon Inventory Systems with Inventory-level-dependent Demand Rate

Author

Ma, Dongyi ; Li Wang

Author_Institution

Sch. of Sci., Anshan Univ. of Sci. & Technol.

Volume

2

fYear

0

fDate

0-0 0

Firstpage

6484

Lastpage

6488

Abstract

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

Keywords

inventory management; particle swarm optimisation; relaxation theory; control policies; echelon stock; inventory management policy; inventory-level-dependent demand rate; multiechelon inventory systems; particle swarm optimization; relaxation-particle swarm optimization; serial-relaxation; series system; Automation; Control systems; Electronic mail; Intelligent control; Inventory control; Inventory management; Particle swarm optimization; demand rate; echelon inventory; multi-echelon inventory control; particle swarm optimization; series system;

fLanguage

English

Publisher

ieee

Conference_Titel

Intelligent Control and Automation, 2006. WCICA 2006. The Sixth World Congress on

Conference_Location

Dalian

Print_ISBN

1-4244-0332-4

Type

conf

DOI

10.1109/WCICA.2006.1714334

Filename

1714334