Evolutionary-fuzzy scheduling of WIP inventory in manufacturing systems
by Nikos C. Tsourveloudis
International Journal of Advanced Intelligence Paradigms (IJAIP), Vol. 2, No. 4, 2010

Abstract: The production scheduling literature identifies the need for optimised fuzzy controllers for the Work-In-Process (WIP) reduction problem. One way towards fuzzy controller optimisation is the Evolutionary Algorithms (EAs). The question this paper faces is: How robust and generic are the controllers that come out of an evolutionary process? An answer is attempted here, by testing the evolutionary-tuned fuzzy controllers in demand conditions different than the ones used during controllers' optimisation. Extensive simulation runs of production lines and networks turn out that the evolutionary-fuzzy strategy achieved a significant reduction of the WIP compared to a successful heuristic approach.

Online publication date: Tue, 02-Nov-2010

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