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Integrating design and planning considerations in cellular manufacturing

Author

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  • W.E. Wilhelm
  • C.C. Chiou
  • D.B. Chang

Abstract

This paper presents a new model that integrates design and planning to prescribe a cost-effective cellular configuration that is responsive to real-world considerations. The model incorporates practical engineering features such as the finite capacity of machines, use of alternative machines, multiple "copies" of a machine type, and limitations on cell size. It integrates design decisions, locating machines in each cell and identifying product families, with planning considerations, ensuring that machine capacities are sufficient to produce required volumes and dealing with between-cell movement to use alternative machines. Computational experience using a commercially available optimization package demonstrates that run time required to resolve problems of realistic size and scope can be quite reasonable. Copyright Kluwer Academic Publishers 1998

Suggested Citation

  • W.E. Wilhelm & C.C. Chiou & D.B. Chang, 1998. "Integrating design and planning considerations in cellular manufacturing," Annals of Operations Research, Springer, vol. 77(0), pages 97-107, January.
  • Handle: RePEc:spr:annopr:v:77:y:1998:i:0:p:97-107:10.1023/a:1018985630053
    DOI: 10.1023/A:1018985630053
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    Cited by:

    1. Shruti Shashikumar & Rakesh D. Raut & Vaibhav S. Narwane & Bhaskar B. Gardas & Balkrishna E. Narkhede & Anjali Awasthi, 2019. "A novel approach to determine the cell formation using heuristics approach," OPSEARCH, Springer;Operational Research Society of India, vol. 56(3), pages 628-656, September.
    2. 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.
    3. R Tavakkoli-Moghaddam & N Safaei & F Sassani, 2008. "A new solution for a dynamic cell formation problem with alternative routing and machine costs using simulated annealing," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 59(4), pages 443-454, April.

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