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On the Art of Modeling

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  • William T. Morris

    (The Ohio State University)

Abstract

The problem of teaching or developing creative modeling ability is considered in the light of three basic hypotheses concerning the processes of enrichment (elaboration of very simple models), association (analogy with previously developed structures), and alternating attention to different aspects of the task. Based on these hypotheses, specific steps are presented which have been developed to help individuals acquire modeling skills. The steps are illustrated by means of an example. Other sources of modeling ability are also suggested. The discussion focuses on specific hypotheses concerning the differences between the teaching of models and the teaching of modeling.

Suggested Citation

  • William T. Morris, 1967. "On the Art of Modeling," Management Science, INFORMS, vol. 13(12), pages 707-717, August.
    • Handle: RePEc:inm:ormnsc:v:13:y:1967:i:12:p:b707-b717
    DOI: 10.1287/mnsc.13.12.B707
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    Cited by:

    1. Steven M. Shugan, 2007. "—It's the Findings, Stupid, Not the Assumptions," Marketing Science, INFORMS, vol. 26(4), pages 449-459, 07-08.
    2. S G Powell & T R Willemain, 2007. "How novices formulate models. Part I: qualitative insights and implications for teaching," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 58(8), pages 983-995, August.
    3. Brian Heath & Raymond Hill & Frank Ciarallo, 2009. "A Survey of Agent-Based Modeling Practices (January 1998 to July 2008)," Journal of Artificial Societies and Social Simulation, Journal of Artificial Societies and Social Simulation, vol. 12(4), pages 1-9.
    4. S Robinson, 2008. "Conceptual modelling for simulation Part I: definition and requirements," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 59(3), pages 278-290, March.
    5. Bonder, Seth & Zajtchuk, Russ, 1997. "Changing the paradigm for telemedicine development and evaluation: a prospective model-based approach," Socio-Economic Planning Sciences, Elsevier, vol. 31(4), pages 257-280, December.
    6. Michael Pidd, 1999. "Just Modeling Through: A Rough Guide to Modeling," Interfaces, INFORMS, vol. 29(2), pages 118-132, April.
    7. Milad Zamanifar & Timo Hartmann, 2020. "Optimization-based decision-making models for disaster recovery and reconstruction planning of transportation networks," 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. 104(1), pages 1-25, October.
    8. Hämäläinen, Raimo P. & Lahtinen, Tuomas J., 2016. "Path dependence in Operational Research—How the modeling process can influence the results," Operations Research Perspectives, Elsevier, vol. 3(C), pages 14-20.
    9. Lahtinen, Tuomas J. & Hämäläinen, Raimo P., 2016. "Path dependence and biases in the even swaps decision analysis method," European Journal of Operational Research, Elsevier, vol. 249(3), pages 890-898.
    10. Thomas A. Grossman, 1999. "Teachers' Forum: Spreadsheet Modeling and Simulation Improves Understanding of Queues," Interfaces, INFORMS, vol. 29(3), pages 88-103, June.
    11. Matthew J. Drake, 2019. "Teaching OR/MS with Cases: A Review and New Suggestions," INFORMS Transactions on Education, INFORMS, vol. 19(2), pages 57-66, January.
    12. S Robinson, 2008. "Conceptual modelling for simulation Part II: a framework for conceptual modelling," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 59(3), pages 291-304, March.
    13. T R Willemain & S G Powell, 2007. "How novices formulate models. Part II: a quantitative description of behaviour," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 58(10), pages 1271-1283, October.

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