So many factors, so little time...Simulation experiments in the frequency domain
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Authors
Sanchez, Susan M.
Moeeni, Farhad
Sanchez, Paul J.
Subjects
Just-in-time manufacturing
Production planning
Design of experiments
Production planning
Design of experiments
Advisors
Date of Issue
2006
Date
Publisher
Language
Abstract
We illustrate how an efficient methodology called frequency domain experimentation can be used to gain better insight
into the behavior of production systems. With the full factorial designs commonly used for simulation experiments, the
number of runs grows exponentially with the number of factors involved, while the run length remains constant. In
frequency domain experiments, the number of runs is independent of the number of factors, while the required run lengths
increase relatively slowly. We describe the method, illustrate its effectiveness at identifying important main effects, two-way
interactions, and quadratic terms for a known model, demonstrate the approach by evaluating a kanban system involving
34 factors, and provide links to software. We also present computational requirements for running simulation experiments
that combine a batch means approach with efficient run-oriented designs for a variety of systems. The results indicate that
frequency domain experiments perform very favorably for systems, such as queueing networks, where the simulation’s
output stream exhibits high positive autocorrelation.
Type
Article
Description
The article of record as published may be located at http://dx.doi.org/10.1016/j.ijpe.2005.06.007
Series/Report No
Department
Operations Research
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NPS Report Number
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Citation
Int. J. Production Economics, Volume 103, 2006, pp. 149–165
Distribution Statement
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This publication is a work of the U.S. Government as defined in Title 17, United States Code, Section 101. Copyright protection is not available for this work in the United States.