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How to build valid and credible simulation models

Published: 03 December 2006 Publication History

Abstract

In this tutorial we present techniques for building valid and credible simulation models. Ideas to be discussed include the importance of a definitive problem formulation, discussions with subject-matter experts, interacting with the decision-maker on a regular basis, development of a written assumptions document, structured walk-through of the assumptions document, use of sensitivity analysis to determine important model factors, and comparison of model and system output data for an existing system (if any). Each idea will be illustrated by one or more real-world examples. We will also discuss the difficulty in using formal statistical techniques (e.g., confidence intervals) to validate simulation models.

References

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Balci, O. 1998. Verification, validation, and testing. In The handbook of simulation, ed. J. Banks, Chapter 10. New York: John Wiley.
[2]
Banks, J., J. S. Carson, B. L. Nelson, and D. M. Nicol. 2005. Discrete-event system simulation. 4th ed. Upper Saddle River, N. J: Prentice-Hall.
[3]
Carson J. S., June 1986. Convincing users of model's validity is challenging aspect of modeler's job. Industrial Engineering 18: 74--85.
[4]
Defense Modeling and Simulation Office. 2000. VV&A recommended practices guide. Millennium Edition. http://vva.dmso.mil. Alexandria, Virginia.
[5]
Law, A. M. July 1991. Simulation study puts the right heat on at Kaiser Aluminum. Industrial Engineering 23: 16--17.
[6]
Law, A. M. 2006. Simulation modeling and analysis. 4th ed. New York: McGraw-Hill.
[7]
Montgomery, D. C. 2005. Design and analysis of experiments. 6th ed. New York: John Wiley.
[8]
Sargent, R. G. 2004. Verification and validation of simulation models. In Proceedings of the 2004 winter simulation conference. Washington, D.C., 17--28. Piscataway, New Jersey: Institute of Electrical and Electronics Engineers.
[9]
Schruben, L. W. 1980. Establishing the credibility of simulations. Simulation 34: 101--105.
[10]
Shannon, R. E. 1975. Systems simulation: The art and science. Englewood Cliffs, N. J.: Prentice-Hall.

Cited By

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  • (2017)Analysis of communication management in a discrete event simulation project in an high-tech manufacturing companyProceedings of the 2017 Winter Simulation Conference10.5555/3242181.3242530(1-12)Online publication date: 3-Dec-2017
  • (2017)History of verification and validation of simulation modelsProceedings of the 2017 Winter Simulation Conference10.5555/3242181.3242199(1-16)Online publication date: 3-Dec-2017
  • (2015)Identification of the main methods used in simulation projectsProceedings of the 2015 Winter Simulation Conference10.5555/2888619.2889087(3469-3480)Online publication date: 6-Dec-2015
  • Show More Cited By

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Published In

cover image ACM Conferences
WSC '06: Proceedings of the 38th conference on Winter simulation
December 2006
2429 pages
ISBN:1424405017

Sponsors

  • IIE: Institute of Industrial Engineers
  • ASA: American Statistical Association
  • IEICE ESS: Institute of Electronics, Information and Communication Engineers, Engineering Sciences Society
  • IEEE-CS\DATC: The IEEE Computer Society
  • SIGSIM: ACM Special Interest Group on Simulation and Modeling
  • NIST: National Institute of Standards and Technology
  • (SCS): The Society for Modeling and Simulation International
  • INFORMS-CS: Institute for Operations Research and the Management Sciences-College on Simulation

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Winter Simulation Conference

Publication History

Published: 03 December 2006

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WSC06
Sponsor:
  • IIE
  • ASA
  • IEICE ESS
  • IEEE-CS\DATC
  • SIGSIM
  • NIST
  • (SCS)
  • INFORMS-CS
WSC06: Winter Simulation Conference 2006
December 3 - 6, 2006
California, Monterey

Acceptance Rates

WSC '06 Paper Acceptance Rate 177 of 252 submissions, 70%;
Overall Acceptance Rate 3,413 of 5,075 submissions, 67%

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Cited By

View all
  • (2017)Analysis of communication management in a discrete event simulation project in an high-tech manufacturing companyProceedings of the 2017 Winter Simulation Conference10.5555/3242181.3242530(1-12)Online publication date: 3-Dec-2017
  • (2017)History of verification and validation of simulation modelsProceedings of the 2017 Winter Simulation Conference10.5555/3242181.3242199(1-16)Online publication date: 3-Dec-2017
  • (2015)Identification of the main methods used in simulation projectsProceedings of the 2015 Winter Simulation Conference10.5555/2888619.2889087(3469-3480)Online publication date: 6-Dec-2015
  • (2013)Interactive learning of modeling and discrete-events simulation through Lego® partsProceedings of the 2013 Winter Simulation Conference: Simulation: Making Decisions in a Complex World10.5555/2675983.2675838(3556-3567)Online publication date: 8-Dec-2013
  • (2012)A tutorial on simulation modeling in six dimensionsProceedings of the Winter Simulation Conference10.5555/2429759.2429982(1-12)Online publication date: 9-Dec-2012
  • (2009)Communicating with management about the benefits of business process simulationWinter Simulation Conference10.5555/1995456.1995852(2915-2919)Online publication date: 13-Dec-2009

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