Optimization of Buffer Allocation in Manufacturing System Using Particle Swarm Optimization
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In this paper, we present heuristic approach to optimize buffer allocation in manufacturing system with tandem, split and merge topologies. Finite Closed queuing network approach is used to represent manufacturing systems. An attempt is made to find near optimal buffer allocation to minimize cost function in unlimited space buffer allocation problem. Expanded Mean Value Analysis is used to evaluate the objective function of closed queuing network. Particle Swarm Optimization is used as generative technique to optimize the buffer allocation. Numerical experiments are shown to explain the effectiveness of procedure.
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