Paper
28 August 1995 Application of decentralized cooperative problem solving in dynamic flexible scheduling
Zai-Lin Guan, Ming Lei, Bo Wu, Ya Wu, Shuzi Yang
Author Affiliations +
Proceedings Volume 2620, International Conference on Intelligent Manufacturing; (1995) https://doi.org/10.1117/12.217488
Event: International Conference on Intelligent Manufacturing, 1995, Wuhan, China
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.
© (1995) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Zai-Lin Guan, Ming Lei, Bo Wu, Ya Wu, and Shuzi Yang "Application of decentralized cooperative problem solving in dynamic flexible scheduling", Proc. SPIE 2620, International Conference on Intelligent Manufacturing, (28 August 1995); https://doi.org/10.1117/12.217488
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Cited by 11 scholarly publications.
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KEYWORDS
Manufacturing

Computing systems

Control systems

Artificial intelligence

Fuzzy logic

Telecommunications

Databases

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