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A Hybrid Knowledge-Based System for Allocating Retail Space and for Other Allocation Problems

Author

Listed:
  • Madan G. Singh

    (Computation Department, University of Manchester Institute of Science and Technology, PO Box 88, Manchester M60 1QD, United Kingdom)

  • Roderick Cook

    (Computation Department, University of Manchester Institute of Science and Technology, PO Box 88, Manchester M60 1QD, United Kingdom)

  • Marcel Corstjens

    (Marketing Department, INSEAD, Boulevard de Constance, F77305 Fontainebleau, France)

Abstract

A unique hybrid knowledge-based decision support system (Resource-opt) for helping managers make various kinds of resource allocation decisions allows the user to feed in hard information about the past, market research information, and managerial intuition. The Resource-opt System organizes all this knowledge and then computes the resource allocation decisions that will maximize profits within any given set of strategic considerations. It provides a forecast of sales, costs, and profits. A practical example of the use of the system for allocating retail space is given; it has also been used for sales force allocation and mail order catalogue design.

Suggested Citation

  • Madan G. Singh & Roderick Cook & Marcel Corstjens, 1988. "A Hybrid Knowledge-Based System for Allocating Retail Space and for Other Allocation Problems," Interfaces, INFORMS, vol. 18(5), pages 13-22, October.
    • Handle: RePEc:inm:orinte:v:18:y:1988:i:5:p:13-22
    DOI: 10.1287/inte.18.5.13
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    Cited by:

    1. Parker, Philip M. & Sarvary, Miklos, 1997. "Formulating dynamic strategies using decision calculus," European Journal of Operational Research, Elsevier, vol. 98(3), pages 542-554, May.

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