Optimized fuzzy scheduling of manufacturing systems

نویسندگان

  • Nikos Tsourveloudis
  • Lefteris Doitsidis
  • Stratos Ioannidis
چکیده

An Evolutionary Algorithm (EA) strategy for the optimization of generic Work-In-Process (WIP) scheduling fuzzy controllers is presented. The EA is used to tune a set of fuzzy control modules which are used for distributed and supervisory WIP scheduling. The distributed controllers objective is to control the rate in each production stage so that satisfies the demand for final products while reducing WIP within the system. The EA identifies the parameters for which the fuzzy controller performs optimal with respect to WIP and backlog minimization. The proposed strategy is compared to known heuristically tuned fuzzy control approaches. Simulation results show that the EA strategy improves system’s performance.

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تاریخ انتشار 2005