Graphical methods for the design and analysis of simulation experiments

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Graphical methods for the design and analysis of simulation experiments

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Winter Simulation Conference archive
Proceedings of the 21st conference on Winter simulation table of contents

Washington, D.C., United States

Pages: 51 - 61

Year of Publication: 1989

ISBN:0-911801-58-8

Authors

R. R. Barton
L. W. Schruben

Sponsors

IIE : Institute of Industrial Engineers
NIST : National Institue of Standards & Technology
SES : SES
TIMS/CS :
IEEE-CS : Computer Society
ORSA : Operations Research Society of America
SIGSIM: ACM Special Interest Group on Simulation and Modeling

Publisher

ACM New York, NY, USA

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ABSTRACT

In this paper we develop some intuitive graphical methods for designing, running, and analyzing simulation experiments. We first concentrate on the analysis of output plots from a single run; the concept of a standardized simulation output plot is presented and its use illustrated. The remainder of the paper involves the design of experiments that may involve several (sequential) simulation runs. Experimental design discussions in simulation often focus on special topics unique to the field. Control over random variables permits design techniques such as antithetic variates and common random number streams. Yet many of the general topics of experiment design including confounding, fractional designs, and sample size determination are important in a simulation setting. The second part of this tutorial will focus on these general topics and present some graphical tools for generating experiment designs: causal diagrams and multidimensional point plots.

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.

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