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Activity Number:
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67
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Type:
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Contributed
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Date/Time:
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Sunday, August 6, 2006 : 4:00 PM to 5:50 PM
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Sponsor:
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Section on Quality and Productivity
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| Abstract - #306200 |
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Title:
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Robust Analysis of Variance: Process Design and Quality Improvement
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Author(s):
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Avi Giloni*+ and Sridhar Seshadri and Jeffrey Simonoff
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Companies:
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Yeshiva University and New York University and New York University
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Address:
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500 W. 185th Street, New York, NY, 10033,
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Keywords:
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ANOVA ; Taguchi ; robust design ; quality engineering ; robust statistics ; outlier
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Abstract:
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We discuss the use of robust analysis of variance techniques as applied to quality engineering. Our goal is to utilize methodologies that yield similar results to standard methods when the underlying assumptions are satisfied, but also are relatively unaffected by outliers. We study several examples to illustrate how using standard techniques can lead to misleading inferences about the process being examined, which are avoided when using a robust analysis. We further demonstrate that assessments of the importance of factors for quality design can be seriously compromised when utilizing standard methods as opposed to robust methods.
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