Some novel results on a organizing supervisory control, employing fuzzy Petri-net reasoning, along with intelligent communication protocols tailored for flexible manufacturing systems are proposed. Stochastic Petri-net supervisor has been derived via a synergy of fuzzy set and Petri net theories while intelligent communication protocols via object oriented emulation modeling and corresponding programming. These innovative technologies were tested through their application in parallel simulation of medium-size FMS model. Developed representation models have been derived by compatible usage of math-analytical queue, fuzzy Petri-net, and appropriate object-oriented models. Some simulations are presented to illustrate these novel developments.
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