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The Application of Optimum-Seeking Techniques to Simulation Studies: A Preliminary Evaluation*

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  • Meier, Robert C.

Abstract

The origins of the application of quantitative methods to the determination of optimum solutions to managerial problems can be traced back at least as far as 50 years when calculus techniques were first suggested for solution of economic lot size problems. However, the great increase in applications of optimizing techniques occurred after the Second World War with the popularization of the operations research concept and development of a wide variety of mathematical tools — among them linear programming, queuing theory, dynamic programming, and network flow theory. The development of digital computers in the late 1940's substantially reduced computational problems associated with the use of many mathematical methods and also made possible the use of simulation techniques which, without digital computers, are not ordinarily practical because of the large amount of computation involved.

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  • Meier, Robert C., 1967. "The Application of Optimum-Seeking Techniques to Simulation Studies: A Preliminary Evaluation*," Journal of Financial and Quantitative Analysis, Cambridge University Press, vol. 2(1), pages 31-51, March.
  • Handle: RePEc:cup:jfinqa:v:2:y:1967:i:01:p:31-51_01
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    Cited by:

    1. Azadivar, Farhad & Lee, Young-Hae, 1988. "Optimization of discrete variable stochastic systems by computer simulation," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 30(4), pages 331-345.

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