Publication
Title
Bias-specified robust design optimization : a generalized mean squared error approach
Author
Abstract
The primary goal of robust design is to determine the best design points by minimizing variability of the performance of a manufacturing process and minimizing deviation of the performance from a target value of interest. In this paper, a generalization and improvement of the robust optimization approach, based on the mean squared error, is suggested and applied. The constraint on the process bias is further relaxed. Different response surface functions are evaluated and compared. As an example, different optimization approaches are illustrated with a numerical test case. The results are explained and discussed.
Language
English
Source (journal)
Computers & industrial engineering. - Oxford
Publication
Oxford : 2008
ISSN
0360-8352
Volume/pages
54:2(2008), p. 259-268
ISI
000253363300007
Full text (Publishers DOI)
Full text (publishers version - intranet only)
UAntwerpen
Faculty/Department
Publication type
Subject
External links
Web of Science
Record
Identification
Creation 25.09.2013
Last edited 08.05.2017