FMS scheduling by hybrid approaches using genetic algorithm and simulation

This paper presents two intelligent approaches to a production scheduling problem in Flexible Manufacturing Systems (FMSs). These are hybrid approaches using a simulator and a genetic algorithm. These approaches are integrated to seek efficiently the best combination of dispatching rules in order to obtain an appropriate production schedule under specific performance measures.