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Using dynamic cellular manufacturing to simplify scheduling in cell based production systems

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  • Kannan, V. R.
  • Ghosh, S.

Abstract

Previous research has shown that the formation of temporary, logical manufacturing cells in a job shop, overcomes problems of high setup frequency typically found in job shops. In addition, this form of cellular configuration is more flexible than tranditional, group technology based cellular configurations. This research demonstrates that an added benefit of a dynamic cellular configuration is that it simplifies production scheduling, eliminating the need for more complex dispatching rules. In particular, it eliminates the need for further setup reduction when scheduling parts from the same family. Improvements in performance when employing setup reduction are shown to occur only when the premium associated with intra-family setup reduction is very high, and are attributable to reductions in flow time variance.

Suggested Citation

  • Kannan, V. R. & Ghosh, S., 1995. "Using dynamic cellular manufacturing to simplify scheduling in cell based production systems," Omega, Elsevier, vol. 23(4), pages 443-452, August.
    • Handle: RePEc:eee:jomega:v:23:y:1995:i:4:p:443-452
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    References listed on IDEAS

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    1. Nallan C. Suresh & Jack R. Meredith, 1994. "Coping with the Loss of Pooling Synergy in Cellular Manufacturing Systems," Management Science, INFORMS, vol. 40(4), pages 466-483, April.
    2. John S. Morris & Richard J. Tersine, 1990. "A Simulation Analysis of Factors Influencing the Attractiveness of Group Technology Cellular Layouts," Management Science, INFORMS, vol. 36(12), pages 1567-1578, December.
    3. L. Schruben & H. Singh & L. Tierney, 1983. "Optimal Tests for Initialization Bias in Simulation Output," Operations Research, INFORMS, vol. 31(6), pages 1167-1178, December.
    4. Kenneth R. Baker, 1984. "Sequencing Rules and Due-Date Assignments in a Job Shop," Management Science, INFORMS, vol. 30(9), pages 1093-1104, September.
    5. Bruce Schmeiser, 1982. "Batch Size Effects in the Analysis of Simulation Output," Operations Research, INFORMS, vol. 30(3), pages 556-568, June.
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    1. Safaei, N. & Saidi-Mehrabad, M. & Jabal-Ameli, M.S., 2008. "A hybrid simulated annealing for solving an extended model of dynamic cellular manufacturing system," European Journal of Operational Research, Elsevier, vol. 185(2), pages 563-592, March.

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