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How to build valid and credible simulation models
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Source Winter Simulation Conference archive
Proceedings of the 37th conference on Winter simulation table of contents
Orlando, Florida
SESSION: Introductory tutorials: model validation and verification table of contents
Pages: 24 - 32  
Year of Publication: 2005
ISBN:0-7803-9519-0
Author
Averill M. Law  Averill M. Law & Associates, Inc., Tucson, AZ
Publisher
Winter Simulation Conference 
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Downloads (6 Weeks): 12,   Downloads (12 Months): 78,   Citation Count: 3
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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 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

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, 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://wa.dmso.mi1. Alexandria, Virginia.
 
5
Law, A. M. July 1991. Simulation study puts the right heat on at Kaiser Aluminum. Industrial Engineering 23: 16--17.
 
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Schruben, L. W. 1980. Establishing the credibility of simulations. Simulation 34: 101--105.
 
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Shannon, R. E. 1975. Systems simulation: The art and science. Englewood Cliffs, N. J.: Prentice-Hall.