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Note---A Branch-and-Fathom Algorithm for the Long Range Process Design Problem

Author

Listed:
  • Jaya Singhal

    (Department of Information and Quantitative Sciences, University of Baltimore, 1420 N Charles Street, Baltimore, Maryland 21201)

  • Joseph L. Katz

    (Department of Decision Sciences, Georgia State University, Atlanta, Georgia 30303)

Abstract

Several problems, including the long-range process design problem, have been formulated as a compatibility matrix. Earlier, Singhal et al. (1988) proposed a partial enumeration algorithm which found all feasible designs and reported computational results. However, for large problems, the partial enumeration algorithm requires an excessive amount of computational effort to locate all feasible designs. This paper presents a branch and fathom algorithm which is more efficient than the partial enumeration algorithm, and which significantly reduces the computational effort necessary to identify all feasible designs.

Suggested Citation

  • Jaya Singhal & Joseph L. Katz, 1990. "Note---A Branch-and-Fathom Algorithm for the Long Range Process Design Problem," Management Science, INFORMS, vol. 36(4), pages 513-516, April.
    • Handle: RePEc:inm:ormnsc:v:36:y:1990:i:4:p:513-516
    DOI: 10.1287/mnsc.36.4.513
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    Cited by:

    1. Yu, Yugang & Wang, Bo & Zheng, Shengming, 2024. "Data-driven product design and assortment optimization," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 182(C).
    2. Singhal, Jaya & Singhal, Kalyan, 1996. "The number of feasible designs in a compatibility matrix," European Journal of Operational Research, Elsevier, vol. 94(1), pages 186-193, October.

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