FMS scheduling by hybrid approaches using genetic algorithm and simulation
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TL;DR
Two intelligent approaches to a production scheduling problem in Flexible Manufacturing Systems are presented using a simulator and a genetic algorithm to seek efficiently the best combination of dispatching rules to obtain an appropriate production schedule.
Abstract
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.