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

Author

Listed:
  • Ali Azadeh
  • Behnaz Pourvalikhan Nokhandan
  • Sayed Mohammad Asadzadeh
  • Ehsan Fathi

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.

Suggested Citation

  • Ali Azadeh & Behnaz Pourvalikhan Nokhandan & Sayed Mohammad Asadzadeh & Ehsan Fathi, 2011. "Optimal allocation of operators in a cellular manufacturing system by an integrated computer simulation–genetic algorithm approach," International Journal of Operational Research, Inderscience Enterprises Ltd, vol. 10(3), pages 333-360.
    • Handle: RePEc:ids:ijores:v:10:y:2011:i:3:p:333-360
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