Abstract
In flexible jobshop manufacturing system ‘n’ number of jobs are manufactured on ‘m’ machines in the‘s’ stages. Each product has its predefined sequence. Material processing is scheduled by following alternate process plans. Material flow consists of the total completion time which comprises of travel time, waiting time and processing time, etc. Material flow optimisation is the part of production planning stage. So, it is a crucial part in the flexible manufacturing system of decision making to optimise a material flow in the system.In this paper, a mathematical model is modified to optimise material flow optimisation of a flexible manufacturing system. Waiting time due to unavailability of machines is considered for the modification of this mathematical model. A real coded Genetic Algorithm (RCGA) has implemented on flexible jobshop manufacturing system problem to optimise material flow of the system. The results shows that RCGA can be applied to solve problems of flexible jobshop manufacturing system and better as compared to Genetic Algorithm (GA).
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