DocumentCode :
3252182
Title :
The construction technology of collaborative manufacturing service chain based on adaptive multi-agent product structure
Author :
Luo, Guo-Fu ; Fu, Ming-Ming ; Xiao, Yan-Qiu ; Ma, Jun
Author_Institution :
Zhengzhou Univ. of Light Ind., Zhengzhou, China
fYear :
2010
fDate :
29-31 Oct. 2010
Firstpage :
599
Lastpage :
603
Abstract :
This paper´s proposed the adaptive multi-agent collaborative manufacturing product structure service chain model and discussed its construction technology for the complex collaborative manufacturing task and the lack of appropriate building technology, based on the collaborative production scheduling, in view of the expert decision-making optimization´s genetic algorithm and MAS technology as a whole. Through genetic algorithms and MAS technology, it matches the product parts logic manufacturing tasks unit with manufacturing services unit, and sets up the hierarchical manufacturing chain model, even improves the capacity of the manufacturing service chain such as self-organizing, self-adaptation and its´ dynamic response level for enhancing synergy processing capacity among collaborative manufacturing enterprises. Finally, a prototype collaborative manufacturing system development and service chain in an enterprise application are presented and proved the technology effectiveness and scientificity.
Keywords :
genetic algorithms; groupware; manufacturing systems; multi-agent systems; production engineering computing; scheduling; MAS technology; adaptive multiagent product structure; collaborative manufacturing service chain; collaborative production scheduling; complex collaborative manufacturing task; construction technology; expert decision-making optimization; genetic algorithm; prototype collaborative manufacturing system; synergy processing capacity; Collaboration; Genetics; Job shop scheduling; Manufacturing; Processor scheduling; Collaborative manufacturing service chain; Genetic algorithm; MAS; Task matching;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Industrial Engineering and Engineering Management (IE&EM), 2010 IEEE 17Th International Conference on
Conference_Location :
Xiamen
Print_ISBN :
978-1-4244-6483-8
Type :
conf
DOI :
10.1109/ICIEEM.2010.5646543
Filename :
5646543
Link To Document :
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