Building valid models

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Building valid models: how to build valid and credible simulation models

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Winter Simulation Conference archive
Proceedings of the 33nd conference on Winter simulation table of contents

Arlington, Virginia

TUTORIAL SESSION: Introductory tutorials table of contents

Pages: 22 - 29

Year of Publication: 2001

ISBN:0-7803-7309-X

Authors

Averill M. Law	Averill M. Law and Associates, Inc., Tucson, AZ
Michael G. McComas	Averill M. Law and Associates, Inc., Tucson, AZ

Sponsors

INFORMS/CS : Institute for Operations Research and the Management Sciences/College on Simulation
IEEE/SMCS : Institute of Electrical and Electronics Engineers/Systems, Man, and Cybernetics Society
NIST : National Institute of Standards and Technology
ACM: Association for Computing Machinery
SCS : The Society for Computer Simulation International
SIGSIM: ACM Special Interest Group on Simulation and Modeling
IIE : Institute of Industrial Engineers
IEEE/CS : Institute of Electrical and Electronics Engineers/Computer Society
ASA : American Statistical Association

Publisher

IEEE Computer Society Washington, DC, USA

Bibliometrics

Downloads (6 Weeks): 4, Downloads (12 Months): 26, Citation Count: 11

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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 conceptual model, structured walk-through of the conceptual model, use of sensitivity analysis to determine important model factors, and comparison of model and system performance measures 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

Note: OCR errors may be found in this Reference List extracted from the full text article. ACM has opted to expose the complete List rather than only correct and linked references.

	1	Balci, O. 1998. "Verification, Validation and Testing," in The Handbook of Simulation, J. Banks, ed., Chapter 10, John Wiley, New York.
	2	Banks, J., J. S. Carson, B. L. Nelson, and D. M. Nicol. 2001. Discrete-Event System Simulation, Third Edition, Prentice-Hall, Upper Saddle River, N. J.
	3	Carson J. S. 1986. "Convincing Users of Model's Validity Is Challenging Aspect of Modeler's Job," Industrial Engineering, 18: 74-85.
	4	Law, A. M. 1991. "Simulation Study Puts the Right Heat On at Kaiser Aluminum," Industrial Engineering, 23: 16-17.
	5	Averill M. Law , David M. Kelton, Simulation Modeling and Analysis, McGraw-Hill Higher Education, 1999
	6	Montgomery, D. C. 2000. Design and Analysis of Experiments, 5th Edition, John Wiley, New York.
	7	Robert G. Sargent, Verifying and validating simulation models, Proceedings of the 28th conference on Winter simulation, p.55-64, December 08-11, 1996, Coronado, California, United States [doi>10.1145/256562.256572]
	8	Shannon, R. E. 1975. Systems Simulation: The Art and Science, Prentice-Hall, Englewood Cliffs, N.J.

CITED BY 11

	John S. Carson, II, Verification validation: model verification and validation, Proceedings of the 34th conference on Winter simulation: exploring new frontiers, December 08-11, 2002, San Diego, California
	Hengjie Song , Ping Ma , Ming Yang, The application of evaluation method based on HMM for results validity of complex simulation system, Proceedings of the 37th conference on Winter simulation, December 04-07, 2005, Orlando, Florida
	V. A. Pepelyaev, Planning optimization-simulation experiments, Cybernetics and Systems Analysis, v.42 n.6, p.866-875, November 2006
	Richard J. Malak, Jr. , Christiaan J. J. Paredis, Foundations of validating reusable behavioral models in engineering design problems, Proceedings of the 36th conference on Winter simulation, December 05-08, 2004, Washington, D.C.
	Bjørn Johansson , Jürgen Kaiser, Best modeling methods: turn lost production into profit -- discrete event simulation applied on resetting performance in manufacturing systems, Proceedings of the 34th conference on Winter simulation: exploring new frontiers, December 08-11, 2002, San Diego, California
	Robert G. Sargent, Verification and validation: verification and validation of simulation models, Proceedings of the 35th conference on Winter simulation: driving innovation, December 07-10, 2003, New Orleans, Louisiana
	Robert G. Sargent, Validation and verification of simulation models, Proceedings of the 36th conference on Winter simulation, December 05-08, 2004, Washington, D.C.
	Raid Al-Aomar , Ala'a Al-Okaily, A GA-based parameter design for single machine turning process with high-volume production, Computers and Industrial Engineering, v.50 n.3, p.317-337, July 2006
	Robert G. Sargent, Verification and validation of simulation models, Proceedings of the 37th conference on Winter simulation, December 04-07, 2005, Orlando, Florida
	Robert G. Sargent, Verification and validation of simulation models, Proceedings of the 40th Conference on Winter Simulation, December 07-10, 2008, Miami, Florida
	Robert G. Sargent, Verification and validation of simulation models, Proceedings of the 39th conference on Winter simulation: 40 years! The best is yet to come, December 09-12, 2007, Washington D.C.