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Linear Optimal Designs and Optimal Contingency Plans

Author

Listed:
  • Y. R. Lee

    (Department of Management and General Business, Hofstra University, Hempstead, New York 11550)

  • Y. Shi

    (School of Business, Management Division, University of Kansas, Lawrence, Kansas 66045)

  • P. L. Yu

    (School of Business, Management Division, University of Kansas, Lawrence, Kansas 66045)

Abstract

In optimal design problems we try to select a subset from the opportunity set for commitment for a period of time. As the external parameters can vary with time, optimal contingency plans must be constructed to cope with the external conditions. We describe the formulation and methods for locating potentially good designs and their corresponding optimal contingency plans using a multiple-criteria and multiple-constraint level (MC 2 ) simplex method to solve the optimal design problems which have been shown to become amenable to the techniques of decision making under uncertainty.

Suggested Citation

  • Y. R. Lee & Y. Shi & P. L. Yu, 1990. "Linear Optimal Designs and Optimal Contingency Plans," Management Science, INFORMS, vol. 36(9), pages 1106-1119, September.
    • Handle: RePEc:inm:ormnsc:v:36:y:1990:i:9:p:1106-1119
    DOI: 10.1287/mnsc.36.9.1106
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    Citations

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    Cited by:

    1. Yong Shi, 1999. "Optimal System Design with Multiple Decision Makers and Possible Debt: A Multicriteria De Novo Programming Approach," Operations Research, INFORMS, vol. 47(5), pages 723-729, October.
    2. Shi, Yong, 1998. "Optimal system design with MC2 linear programming: A dual contingency plan approach," European Journal of Operational Research, Elsevier, vol. 107(3), pages 692-709, June.
    3. Yong Shi & Po-Lung Yu & Dazhi Zhang, 1996. "Generalized optimal designs and contingency plans in linear systems," European Journal of Operational Research, Elsevier, vol. 89(3), pages 618-641, March.

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