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FUN - A DYNAMIC METHOD FOR SCHEDULING PROBLEMS
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DOI：10.1016/0377-2217(95)00006-C.png)
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Abstract
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Real time control is an important part of scheduling problems, which have become a prime area of interest in the last years. New concepts have emerged in the field of control of the scheduling of parts and tools. Methods to collect information in real time have also been developed, using the shop network, to allow quick reactions and to handle dynamic and reactive shops. The approach described here is based on a fuzzy rules controller which can be dynamically adapted following the perturbations which could arise in a shop. This neuro-fuzzy method gives an efficient dynamic approach for solving scheduling problems in real time.
Keywords:
SCHEDULING PROBLEMS
REAL TIME CONTROL
FUZZY LOGICS
NEURAL NETWORKS
FLEXIBLE MANUFACTURING SYSTEMS
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