Robust Design: Seeking the Best of All Possible Worlds / Proceedings of the 2000 Winter Simulation Conference
Sanchez, Susan M.
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We describe a framework for analyzing simulation output in order to find solutions that will work well after implementation. We show how the use of a loss function that incorporates both system mean and system variability can be used to efficiently and effectively carry out system optimization and improvement efforts. For models whose behavior depends on quantitative factors, we illustrate how robust design can be accomplished by using simple experimental designs in conjunction with response-surface metamodels. The results can yield new insights into system behavior, and may lead to recommended system configurations that differ substantially from those selected by analysis solely on the basis of mean response. We assume a knowledge base at the level of Chapter 12 of Simulation Modeling and Analysis (Law and Kelton 2000) but will review essential elements and distribute illustrative examples at the session.
SUSAN M. SANCHEZ is a Professor in the Operations Research Department at the Naval Postgraduate School, where she also holds a joint appointment in the Systems Management Department. She received a B.S. degree in Industrial & Operations Engineering from the University of Michigan, and M.S. and Ph.D. degrees in Operations Research from Cornell University. She is a member of INFORMS, DSI, ASA and ASQ. She serves as associate editor for Operations Research and Naval Research Logistics, and is currently the Vice President/President Elect of the INFORMS College on Simulation. Her email and web addresses are <email@example.com> and <http://diana.or.nps.navy.mil/ssanchez>.
RightsThis 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.
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