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Proceedings Paper

Application of decentralized cooperative problem solving in dynamic flexible scheduling
Author(s): Zai-Lin Guan; Ming Lei; Bo Wu; Ya Wu; Shuzi Yang
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Paper Abstract

The object of this study is to discuss an intelligent solution to the problem of task-allocation in shop floor scheduling. For this purpose, the technique of distributed artificial intelligence (DAI) is applied. Intelligent agents (IAs) are used to realize decentralized cooperation, and negotiation is realized by using message passing based on the contract net model. Multiple agents, such as manager agents, workcell agents, and workstation agents, make game-like decisions based on multiple criteria evaluations. This procedure of decentralized cooperative problem solving makes local scheduling possible. And by integrating such multiple local schedules, dynamic flexible scheduling for the whole shop floor production can be realized.

Paper Details

Date Published: 28 August 1995
PDF: 5 pages
Proc. SPIE 2620, International Conference on Intelligent Manufacturing, (28 August 1995); doi: 10.1117/12.217488
Show Author Affiliations
Zai-Lin Guan, Huazhong Univ. of Science and Technology (China)
Ming Lei, Huazhong Univ. of Science and Technology (China)
Bo Wu, Huazhong Univ. of Science and Technology (China)
Ya Wu, Huazhong Univ. of Science and Technology (China)
Shuzi Yang, Huazhong Univ. of Science and Technology (China)


Published in SPIE Proceedings Vol. 2620:
International Conference on Intelligent Manufacturing
Shuzi Yang; Ji Zhou; Cheng-Gang Li, Editor(s)

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