SCHEDULING OPTIMIZATION OF FLEXIBLE MANUFACTURING SYSTEM USING GENETIC ALGORITHMS

Ciprian CRISTEA

Abstract


In order to be more competitive on global market, many manufacturing companies have increased the use of flexible manufacturing systems (FMS). The flexibility is reached by making innovative technical and organizational efforts. The scheduling of FMS is complex especially when the system has to accommodate to frequent variations of incoming jobs due to respond quickly to changing customer preferences. A very important issue is to reduce set-up or changeover costs. The FMS scheduling problem has been approached by various traditional optimization techniques. This paper presents the scheduling optimization of flexible manufacturing system using genetic algorithms. The objective function that is minimized represents the global transition cost. The results obtained are compared with those obtained by other scheduling rules and conclusions are presented.

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References


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