Naval Postgraduate School
Robust Design: Seeking the Best of All Possible Worlds / Proceedings of the 2000 Winter Simulation Conference
013.pdf (75.67Kb)Abstract
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.
Description
Approved for public display, distribution unlimited
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 <ssanchez@nps.navy.edu> and
<http://diana.or.nps.navy.mil/ssanchez>.
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