DocumentCode :
2740999
Title :
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
Link To Document :
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