IDEAS home Printed from https://ideas.repec.org/a/wut/journl/v3y2018p45-62id1379.html
   My bibliography  Save this article

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

Author

Listed:
  • 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
    as

    Download full text from publisher

    File URL: https://ord.pwr.edu.pl/assets/papers_archive/1379%20-%20published.pdf
    Download Restriction: no
    File URL: https://libkey.io/10.5277/ord180304?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    References listed on IDEAS

    as
    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. Thomas H. Naylor & J. M. Finger, 1967. "Verification of Computer Simulation Models," Management Science, INFORMS, vol. 14(2), pages 92-101, October.
    4. 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.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Fraedrich, D. & Goldberg, A., 2000. "A methodological framework for the validation of predictive simulations," European Journal of Operational Research, Elsevier, vol. 124(1), pages 55-62, July.
    2. David C. Lane & Özge Pala & Yaman Barlas & David C. Lane, 2015. "Validity is a Matter of Confidence—But Not Just in System Dynamics," Systems Research and Behavioral Science, Wiley Blackwell, vol. 32(4), pages 450-458, July.
    3. Arnold Reisman & Muhittin Oral, 2005. "Soft Systems Methodology: A Context Within a 50-Year Retrospective of OR/MS," Interfaces, INFORMS, vol. 35(2), pages 164-178, April.
    4. Christopher J Lynch & Saikou Y Diallo & Hamdi Kavak & Jose J Padilla, 2020. "A content analysis-based approach to explore simulation verification and identify its current challenges," PLOS ONE, Public Library of Science, vol. 15(5), pages 1-33, May.
    5. Østergaard, P.A. & Lund, H. & Thellufsen, J.Z. & Sorknæs, P. & Mathiesen, B.V., 2022. "Review and validation of EnergyPLAN," Renewable and Sustainable Energy Reviews, Elsevier, vol. 168(C).
    6. Wen-Shiung Lee, 2013. "Merger and acquisition evaluation and decision making model," The Service Industries Journal, Taylor & Francis Journals, vol. 33(15-16), pages 1473-1494, December.
    7. Kleijnen, J.P.C., 1995. "Statistical validation of simulation models : A case study," Other publications TiSEM 4da192cf-c3f4-40a4-aea4-5, Tilburg University, School of Economics and Management.
    8. Merrick, James H. & Weyant, John P., 2019. "On choosing the resolution of normative models," European Journal of Operational Research, Elsevier, vol. 279(2), pages 511-523.
    9. Günter Küppers & Johannes Lenhard, 2005. "Validation of Simulation: Patterns in the Social and Natural Sciences," Journal of Artificial Societies and Social Simulation, Journal of Artificial Societies and Social Simulation, vol. 8(4), pages 1-3.
    10. Maria Franca Norese & Diana Rolando & Rocco Curto, 2023. "DIKEDOC: a multicriteria methodology to organise and communicate knowledge," Annals of Operations Research, Springer, vol. 325(2), pages 1049-1082, June.
    11. Yinhe Bu & Xingping Zhang, 2021. "On the Way to Integrate Increasing Shares of Variable Renewables in China: Experience from Flexibility Modification and Deep Peak Regulation Ancillary Service Market Based on MILP-UC Programming," Sustainability, MDPI, vol. 13(5), pages 1-22, February.
    12. Lu, Xuefei & Borgonovo, Emanuele, 2023. "Global sensitivity analysis in epidemiological modeling," European Journal of Operational Research, Elsevier, vol. 304(1), pages 9-24.
    13. Spinelli, Raffaele & Magagnotti, Natascia, 2010. "A tool for productivity and cost forecasting of decentralised wood chipping," Forest Policy and Economics, Elsevier, vol. 12(3), pages 194-198, March.
    14. Shi, Wen & Liu, Zhixue & Shang, Jennifer & Cui, Yujia, 2013. "Multi-criteria robust design of a JIT-based cross-docking distribution center for an auto parts supply chain," European Journal of Operational Research, Elsevier, vol. 229(3), pages 695-706.
    15. Scott Miles, 2011. "Participatory model assessment of earthquake-induced landslide hazard models," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 56(3), pages 749-766, March.
    16. Y. Yang & L. Wang, 2010. "A Review of Modelling Tools for Implementation of the EU Water Framework Directive in Handling Diffuse Water Pollution," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 24(9), pages 1819-1843, July.
    17. Jacques Fontanel, 1982. "Introduction. Military expenditures and Economic Growth (France, Morocco)," Post-Print hal-03264692, HAL.
    18. Jack P. C. Kleijnen & Susan M. Sanchez & Thomas W. Lucas & Thomas M. Cioppa, 2005. "State-of-the-Art Review: A User’s Guide to the Brave New World of Designing Simulation Experiments," INFORMS Journal on Computing, INFORMS, vol. 17(3), pages 263-289, August.
    19. Janová, Jitka & Hampel, David & Nerudová, Danuše, 2019. "Design and validation of a tax sustainability index," European Journal of Operational Research, Elsevier, vol. 278(3), pages 916-926.
    20. Wen Shiung Lee & Ya Ting Yang, 2013. "Valuation and choice of convertible bonds based on MCDM," Applied Financial Economics, Taylor & Francis Journals, vol. 23(10), pages 861-868, May.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:wut:journl:v:3:y:2018:p:45-62:id:1379. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Adam Kasperski (email available below). General contact details of provider: https://edirc.repec.org/data/iopwrpl.html .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.