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An intelligent hybrid model for the integrated design of cellular manufacturing systems

Author

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  • K.S. Sangwan
  • Rambabu Kodali

Abstract

The design of cellular manufacturing systems (CMS) mainly involves three interrelated phases: cell formation, intracell layout (machine layout), and intercell layout (cell layout). Most of the techniques for the design of CMS considered only the cell formation phase and only a few researchers for the design of CMS involved three interrelated phases separately and sequentially without evaluating the effect of each phase on the other phases. This sequential approach may be efficient to one particular phase but need not be efficient for the overall design of CMS. In this paper, we propose a mathematical model for integration of three interrelated phases and an intelligent hybrid algorithm that uses simulated annealing and genetic algorithms to solve the problem. The proposed model is validated using examples from literature.

Suggested Citation

  • K.S. Sangwan & Rambabu Kodali, 2011. "An intelligent hybrid model for the integrated design of cellular manufacturing systems," International Journal of Services and Operations Management, Inderscience Enterprises Ltd, vol. 9(2), pages 202-226.
    • Handle: RePEc:ids:ijsoma:v:9:y:2011:i:2:p:202-226
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    Cited by:

    1. Ravi Kumar & Surya Prakash Singh, 2018. "Simulated Annealing-Based Embedded Meta-Heuristic Approach to Solve Bi-objective Robust Stochastic Sustainable Cellular Layout," Global Journal of Flexible Systems Management, Springer;Global Institute of Flexible Systems Management, vol. 19(1), pages 69-93, March.

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