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Optimal System Design with Multiple Decision Makers and Possible Debt: A Multicriteria De Novo Programming Approach

Author

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  • Yong Shi

    (College of Information Science and Technology, University of Nebraska at Omaha, 6001 Dodge Street, Omaha, Nebraska 68118)

Abstract

This paper applies multicriteria de novo programming to formulate and solve problems of system design that involve multiple decision makers and a possible debt. In the framework of the system design model, each involved decision maker has his or her own preference for the budget availability level associated with multicriteria under consideration. If the possible debt occurs in the design time, the model allows flexibility for decision makers to borrow additional money from a bank with a fixed interest rate so as to keep the production process feasible. A contingency plan therefore can be constructed to deal with the debt situation. A solution procedure is developed to design the optimal system with a certain range of budget availability levels. Numerical examples are used to illustrate the procedure.

Suggested Citation

  • 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.
    • Handle: RePEc:inm:oropre:v:47:y:1999:i:5:p:723-729
    DOI: 10.1287/opre.47.5.723
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    References listed on IDEAS

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    1. 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.
    2. Babic, Z. & Pavic, I., 1996. "Multicriterial production planning by De Novo programming approach," International Journal of Production Economics, Elsevier, vol. 43(1), pages 59-66, May.
    3. Zeleny, Milan, 1986. "Optimal system design with multiple criteria: De Novo programming approach," Engineering Costs and Production Economics, Elsevier, vol. 10(2), pages 89-94, June.
    4. Lee, H & Nazem, SM & Shi, Y, 1994. "Designing rural area telecommunication networks via hub cities," Omega, Elsevier, vol. 22(3), pages 305-314, May.
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    Cited by:

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    3. Zhang, Y.M. & Huang, G.H. & Zhang, X.D., 2009. "Inexact de Novo programming for water resources systems planning," European Journal of Operational Research, Elsevier, vol. 199(2), pages 531-541, December.
    4. Nurullah Umarusman, 2018. "Fuzzy Goal Programming Problem Based on Minmax Approach for Optimal System Design," Alphanumeric Journal, Bahadir Fatih Yildirim, vol. 6(1), pages 177-192, June.

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