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dc.contributor.authorSanchez, Susan M.
dc.dateWinter 2000
dc.date.accessioned2013-08-19T16:10:01Z
dc.date.available2013-08-19T16:10:01Z
dc.date.issued2000
dc.identifier.citationProceedings of the 2000 Winter Simulation Conference J. A. Joines, R. R. Barton, K. Kang, and P. A. Fishwick, eds.
dc.identifier.urihttp://hdl.handle.net/10945/35253
dc.descriptionApproved for public display, distribution unlimiteden_US
dc.descriptionSUSAN 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 <ssanchez@nps.navy.edu> and <http://diana.or.nps.navy.mil/ssanchez>.en_US
dc.description.abstractWe 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.en_US
dc.publisherProceedings of the 2000 Winter Simulation Conferenceen_US
dc.rightsThis publication is a work of the U.S. Government as defined in Title 17, United States Code, Section 101. As such, it is in the public domain, and under the provisions of Title 17, United States Code, Section 105, may not be copyrighted.en_US
dc.titleRobust Design: Seeking the Best of All Possible Worlds / Proceedings of the 2000 Winter Simulation Conferenceen_US
dc.typeArticleen_US
dc.contributor.corporateNaval Postgraduate School, Monterey, CA.
dc.contributor.departmentOperations Research


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