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Comparing experimental design strategies for quality improvement with minimal changes to factor levels
Author(s) -
McDaniel William R.,
Ankenman Bruce E.
Publication year - 2000
Publication title -
quality and reliability engineering international
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.913
H-Index - 62
eISSN - 1099-1638
pISSN - 0748-8017
DOI - 10.1002/1099-1638(200009/10)16:5<355::aid-qre344>3.0.co;2-i
Subject(s) - response surface methodology , factor (programming language) , quality (philosophy) , design of experiments , range (aeronautics) , reliability engineering , computer science , test (biology) , engineering , mathematics , statistics , machine learning , paleontology , philosophy , epistemology , biology , programming language , aerospace engineering
The ‘small factor change’ problem, where an experimental design strategy is used to find a certain amount of improvement in a response while changing the factor levels as little as possible, is addressed. Using a recently developed test bed for response surfaces, we have simulated a broad range of response surface functions and collected empirical results on the performance of seven experimental design strategies when confronted with this problem. Copyright © 2000 John Wiley & Sons, Ltd.