Optimal allocation of operators in a cellular manufacturing system by an integrated computer simulation genetic algorithm approach

By noting the importance of flexible manufacturing system (FMS), variable market and reduction in product life cycle, this study presents a decision‐making model for optimisation of operator allocation in a Cellular Manufacturing System (CMS) using computer simulation (CS) and genetic algorithm (GA). This study determines the number of cross‐trained operators and optimum operators' layout with respect to cellular condition in a CMS by an integrated approach. The main contribution of this paper is utilisation of an integrated CS GA approach for optimum allocation of operators in a CMS whereas previous studies only use CS or other meta‐heuristics. A typical U‐shaped CMS is used as the case study to show superiority and advantage of the proposed approach.