DocumentCode
2974894
Title
A multi-agent model for the order driven agile manufacturing systems and order form selection algorithm
Author
Zhao, Fuqing ; Zhang, Qiuyu ; Yang, Yahong
Author_Institution
Sch. of Comput. & Commun., Lanzhou Univ. of Technol., Lanzhou, China
fYear
2009
fDate
22-24 June 2009
Firstpage
1625
Lastpage
1630
Abstract
The manufacturing industry is entering a stage of change which is driven by the competitive environment of continuous and unpredictable events. Efficient and effective manufacturing enterprise organization methods are highly desired to be responsive to the physical and software disturbances. A multi-agent model for the order driven agile manufacturing systems and order form selection algorithm are provided in this paper. The information of component agent and detailed schedule plan in the architecture are presented. Shop floor activity and its corresponding control flow are given to support the interaction for the agent community. Particle swarm optimization (PSO) algorithm for the order form selection for the order driven system is used to intelligently select the suitable order for the system. Simulation results show that the architecture model and its optimization algorithm are effective to the problem.
Keywords
agile manufacturing; multi-agent systems; particle swarm optimisation; production engineering computing; PSO algorithm; component agent; detailed schedule plan; manufacturing enterprise organization method; manufacturing industry; multiagent model; order driven agile manufacturing system; order form selection algorithm; particle swarm optimization algorithm; shop floor activity; Agile manufacturing; Bills of materials; Computer architecture; Control systems; Job shop scheduling; Manufacturing automation; Manufacturing industries; Manufacturing systems; Multiagent systems; Production systems;
fLanguage
English
Publisher
ieee
Conference_Titel
Information and Automation, 2009. ICIA '09. International Conference on
Conference_Location
Zhuhai, Macau
Print_ISBN
978-1-4244-3607-1
Electronic_ISBN
978-1-4244-3608-8
Type
conf
DOI
10.1109/ICINFA.2009.5205177
Filename
5205177
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