Robust optimization in simulation: Taguchi and response surface methodology

Dellino, Gabriella and Kleijnen, Jack P.C. and Meloni, Carlo Robust optimization in simulation: Taguchi and response surface methodology. International journal of production economics, 125 (1). 52 - 59. ISSN 0925-5273 (2010)

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Abstract

Optimization of simulated systems is tackled by many methods, but most methods assume known environments. This article, however, develops a `robust' methodology for uncertain environments. This methodology uses Taguchi's view of the uncertain world, but replaces his statistical techniques by Response Surface Methodology (RSM). George Box originated RSM, and Douglas Montgomery recently extended RSM to robust optimization of real (non-simulated) systems. We combine Taguchi's view with RSM for simulated systems. We illustrate the resulting methodology through classic Economic Order Quantity (EOQ) inventory models, which demonstrate that robust optimization may require order quantities that differ from the classic EOQ.

Item Type:	Article
Identification Number:	https://doi.org/10.1016/j.ijpe.2009.12.003
Uncontrolled Keywords:	Pareto frontier; Bootstrap; Latin hypercube sampling
Subjects:	H Social Sciences > HB Economic Theory Q Science > QA Mathematics
Research Area:	Economics and Institutional Change
Depositing User:	Users 17 not found.
Date Deposited:	01 Aug 2011 10:23
Last Modified:	04 Aug 2011 07:30
URI:	http://eprints.imtlucca.it/id/eprint/746

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