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

Ali Azadeh, Behnaz Pourvalikhan Nokhandan, Sayed Mohammad Asadzadeh and Ehsan Fathi

International Journal of Operational Research, 2011, vol. 10, issue 3, 333-360

Abstract: 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.

Keywords: simulation; GAs; genetic algorithms; optimisation; operator allocation; CMS; cellular manufacturing systems; manufacturing cells; flexible manufacturing systems; FMS. (search for similar items in EconPapers)
Date: 2011
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Persistent link: https://EconPapers.repec.org/RePEc:ids:ijores:v:10:y:2011:i:3:p:333-360

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