Architecture Model of FMS Based on Multi-Agent Technology

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The concept of flexible manufacturing system (FMS) has been purposed to improve flexibility and efficiency of manufacture system. Characteristics and operating mechanism of FMS is analyzed in this paper. Fuzziness and distributive of the Multi-agent system can meet the requirements of building FMS platform. On the basis of the theory mentioned above, this paper proposed an architecture model of FMS based on multi-agent technology. At last, the communication between the agents in the system was researched and designed. The introduction of multi-agent technology not only provides a feasible method of building FMS platform system, but also helps to lucubrate the architecture of FMS.

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1087-1092

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November 2013

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© 2014 Trans Tech Publications Ltd. All Rights Reserved

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[1] Um I, Cheon H, Lee H: The simulation design and analysis of a flexible manufacturing system with automated guided vehicle system. Manufacturing System. Vol. 28(2009), p.115–122.

DOI: 10.1016/j.jmsy.2010.06.001

Google Scholar

[2] Durieux S, Pierreval H: Regression metamodeling for the design of automated manufacturing system composed of parallel machines sharing a material handling resource. International Journal of Production Economics. Vol. 89 (2004), p.21–30.

DOI: 10.1016/s0925-5273(03)00199-3

Google Scholar

[3] Fuentes-Fernandez, García-Magarino: A technique for defining agent-oriented engineering processes with tool support. Engineering Applications of Artificial Intelligence. Vol. 23(2010), pp.432-444.

DOI: 10.1016/j.engappai.2009.08.004

Google Scholar

[4] Behrooz Masoumi, M.R. Meybodi: Speeding up learning automata based multi agent systems using the concepts of stigmergy and entropy. Expert Systems with Applications. Vol. 38(2011), pp.8105-8118.

DOI: 10.1016/j.eswa.2010.12.152

Google Scholar

[5] Yongsheng Zhu, Chengdong Wang, Youyun Zhang: Study of neural network based on method of weighted balance of evidence and its application to fault diagnosis. Chinese Journal of Mechanical Engineering. Vol. 38(2002), pp.66-71.

DOI: 10.3901/jme.2002.06.066

Google Scholar

[6] O.A. Joseph, R. Sridharan: Analysis of dynamic due-date assignment models in a flexible manufacturing system. Journal of Manufacturing Systems. Vol. 30(2011), pp.28-40.

DOI: 10.1016/j.jmsy.2011.02.005

Google Scholar

[7] Smith JS: Survey on the use of simulation for manufacturing system design and operation. J Manuf Syst. Vol. 22(2003), pp.157-171.

Google Scholar

[8] Gutierrez, C, Garcia-Magarin: A metric suite for the communication of multi-agent systems. Journal of Physical Agents. Vol. 3(2009), pp.7-15.

Google Scholar

[9] Jianmei Zhang, Shiqun Tao, Jiye Liang: A metric suite for the communication of multi-agent systems. Chinese Journal of Computers. Vol. 12(2011), pp.2281-2290.

Google Scholar