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The meta-model of OR/MS

Author

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  • Mehrez, A
  • Enrick, NL

Abstract

The purpose of this paper is twofold: (1) to discuss the relevance of Operations Research/Management Science (OR/MS) models to the planning and control process in management; and (2) to suggest a meta-model and a meta-modeling approach to facilitate the identification of the characteristics of a problem and the selection of the appropriate model for solving it. The approach used here is conceptually founded, and its objective is to provide a framework for presentation of OR/MS models to a potential user independently of mathematical derivations. An incidental result is that OR/MS models can be related to other disciplines, such as economic equilibrium theory and statistical inference.

Suggested Citation

  • Mehrez, A & Enrick, NL, 1989. "The meta-model of OR/MS," Omega, Elsevier, vol. 17(5), pages 419-435.
    • Handle: RePEc:eee:jomega:v:17:y:1989:i:5:p:419-435
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    Citations

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    Cited by:

    1. Badiru, Adedeji B. & Sieger, David B., 1998. "Neural network as a simulation metamodel in economic analysis of risky projects," European Journal of Operational Research, Elsevier, vol. 105(1), pages 130-142, February.
    2. Mehrez, A. & Muzumdar, M. & Acar, W. & Weinroth, G., 1995. "A Petri Net model view of decision making: an operational management analysis," Omega, Elsevier, vol. 23(1), pages 63-78, February.
    3. Mehrez, Abraham, 1997. "The interface between OR/MS and decision theory," European Journal of Operational Research, Elsevier, vol. 99(1), pages 38-47, May.

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