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Verification of a model as a scientific tool of operations research – a methodological approach

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  • Edward Radosiński
  • Łukasz Radosiński

Abstract

The aim of the research presented in this paper was to solve one of the fundamental problems of modelling and simulation, i.e., verification of a model as a scientific tool of operations research. To attack this problem, certain crucial issues in the philosophy of science (the demarcation problem, the principle of verifiability) must be redefined. In discussing the question of verification, a procedure (the so called RAD-VER procedure) for verifying a model of a microeconomic system, in our case – a firm, is formulated. It is assumed that verification is a ceaseless process of evaluating a model’s scientificity from the standpoints of deductive reasoning, coherency and empiricism. Verification has been divided into two stages: the verification of the assumptions underlying the model of a firm and the verification of the simulator.

Suggested Citation

  • Edward Radosiński & Łukasz Radosiński, 2018. "Verification of a model as a scientific tool of operations research – a methodological approach," Operations Research and Decisions, Wroclaw University of Science and Technology, Faculty of Management, vol. 28(3), pages 45-62.
  • Handle: RePEc:wut:journl:v:3:y:2018:p:45-62:id:1379
    DOI: 10.5277/ord180304
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    References listed on IDEAS

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    1. Kleijnen, Jack P. C., 2005. "An overview of the design and analysis of simulation experiments for sensitivity analysis," European Journal of Operational Research, Elsevier, vol. 164(2), pages 287-300, July.
    2. Dery, Richard & Landry, Maurice & Banville, Claude, 1993. "Revisiting the issue of model validation in OR: An epistemological view," European Journal of Operational Research, Elsevier, vol. 66(2), pages 168-183, April.
    3. George B. Kleindorfer & Liam O'Neill & Ram Ganeshan, 1998. "Validation in Simulation: Various Positions in the Philosophy of Science," Management Science, INFORMS, vol. 44(8), pages 1087-1099, August.
    4. Thomas H. Naylor & J. M. Finger, 1967. "Verification of Computer Simulation Models," Management Science, INFORMS, vol. 14(2), pages 92-101, October.
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