Computing trade-offs in robust design: Perspectives of the mean squared error
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Date
2011
Authors
Journal Title
Journal ISSN
Volume Title
Publisher
Pergamon-Elsevier Science Ltd
Abstract
Researchers often identify robust design as one of the most effective engineering design methods for continuous quality improvement. When more than one quality characteristic is considered an important question is how to trade off robust design solutions. In this paper we consider a bi-objective robust design problem for which Pareto solutions of two quality characteristics need to be obtained. In practical robust design applications a second-order polynomial model is adequate to accommodate the curvature of process mean and variance functions thus mean-squared robust design models frequently used by many researchers would contain fourth-order terms. Consequently the associated Pareto frontier might be non-convex and supported and non-supported efficient solutions needs to be generated. So the objective of this paper is to develop a lexicographic weighted-Tchebycheff based bi-objective robust design model to generate the associated Pareto frontier. Our numerical example clearly shows the advantages of this model over frequently used weighted-sums model. (C) 2010 Elsevier Ltd. All rights reserved.
Description
Keywords
Quality control, Bi-objective robust design, Weighted-sums method, Lexicographic weighted-Tchebycheff method, Mean-squared-error model
Turkish CoHE Thesis Center URL
Citation
39
WoS Q
Q1
Scopus Q
Q1
Source
Volume
60
Issue
2
Start Page
248
End Page
255