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2nd New Zealand Two-Stream International Conference on Artificial Neural Networks and Expert Systems (ANNES '95)
Application of Fuzzy Logic to Shopfloor Scheduling
Dunedin, New Zealand
November 20-November 23
ISBN: 0-8186-7174-2
Saeid Nahavandi, Massey University
Paul Solomon, Massey University
The work presented in this paper shows that fuzzy logic can be useful for the scheduling problems where the production data such as processing times is fuzzy. The chosen area of application of fuzzy logic is the hybrid control architecture of a Flexible Manufacturing System (FMS). Fuzzy logic is used for prioritization and the ordering of the jobs in the Factory Controller queue. The preliminary results indicate that implementing a fuzzy scheduling system to shop floor scheduling will ease the rather complicated scheduling problems.
Index Terms:
Fuzzy Logic, Production Scheduling, Job Prioritization, Manufacturing
Citation:
Saeid Nahavandi, Paul Solomon, "Application of Fuzzy Logic to Shopfloor Scheduling," annes, pp.365, 2nd New Zealand Two-Stream International Conference on Artificial Neural Networks and Expert Systems (ANNES '95), 1995
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