Abstract
This paper addresses some basic concepts involved in a knowledge-based adaptive control system and dynamic adaptive scheduling methodology for FMSs, Recent advances in flexible automation resulted in a complex multiprocessing environment. To cope with dynamically changing external demands, internal production goals and unanticipated events arising at the factory floor, the proposed intelligent control system is provided with features contributing to the CIM trend, system adaptivity and a new modelreformulating approach to scheduling, in a real-time decision making environment.
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