Investigation of Multi-Dimensional Cellular Manufacturing System Using Meta-Heuristic Method

Group technology is commonly preferred arrangement in the Cellular manufacturing system (CMS). Since worker have an important role in doing jobs on machines, assignment of worker to cells becomes a crucial factor for utilization of cellular manufacturing system. In this paper, the objective is to minimize the number of voids and exceptional element in a cell. Computational fallout demonstrate that planned particle swarm optimization (PSO) algorithm can obtain better objective function values in less computational time than existing method.

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