A hybrid GA-simulation approach to improve JIT systems

This study presents a hybrid approach involving genetic algorithms (GAs) as an optimisation search technique and a simulation model, representing the dynamic behaviour of a system and its limitations, to improve an existing just-in-time (JIT) manufacturing system. To achieve the objective, first, th...

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Veröffentlicht in:	International journal of production research 2010-01, Vol.48 (8), p.2323-2344
Hauptverfasser:	Azadeh, A., Ebrahimipour, V., Bavar, P.
Format:	Artikel
Sprache:	eng
Schlagworte:	Analysis of variance Applied sciences Automotive engineering Computer simulation Dynamical systems Dynamics Exact sciences and technology genetic algorithm Genetic algorithms hybrid integration Inventory control, production control. Distribution Just in time Operational research and scientific management Operational research. Management science Optimization Optimization techniques Queuing theory Queuing theory. Traffic theory Searching Simulation Studies Variance analysis
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