Application of Improved PSO for CSI in Customization System Oriented Network Manufacturing

Author

Liu, Jia ; Yu, Hongtao ; Gong, Yadong ; Wang, Wanshan

Author_Institution

Sch. of Mech. Eng. & Autom., Northeastern Univ., Shenyang

Volume

2

fYear

0

fDate

0-0 0

Firstpage

7944

Lastpage

7947

Abstract

A mathematical model of customer satisfaction index (CSI) in individualized product customization system is put forward in this paper, which bases on networked manufacturing platform. The problem of customer satisfaction index in terms of this model can be solved by particle swarm optimization (PSO) improved according to Bayes method and a good convergence effect has been obtained. The customization system offers a kind of new way to meet customers´ requirement that the customers are eager for consumption of varieties, low-volume production, short cycle and high-quality

Keywords

Bayes methods; convergence; customer satisfaction; manufacturing data processing; particle swarm optimisation; product customisation; Bayes method; customer satisfaction index; network manufacturing; particle swarm optimization; product customization system; Costs; Customer satisfaction; Intelligent networks; Manufacturing automation; Manufacturing industries; Mathematical model; Mechanical engineering; Product customization; Pulp manufacturing; Virtual manufacturing; Bayes method; CSI; Customization; PSO;

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.2006.1713518

Filename

1713518