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Measurement Systems Analysis Studies: A Look at the Partition of Variation (POV) Method

abstract: The Partition of Variance (POV) method is a simplistic way to identify large sources of variation in manufacturing systems. This method identifies the variance by estimating the variance of the means (between variance) and the means of the variance (within variance). The project shows that the method correctly identifies the variance source when compared to the ANOVA method. Although the variance estimators deteriorate when varying degrees of non-normality is introduced through simulation; however, the POV method is shown to be a more stable measure of variance in the aggregate. The POV method also provides non-negative, stable estimates for interaction when compared to the ANOVA method. The POV method is shown to be more stable, particularly in low sample size situations. Based on these findings, it is suggested that the POV is not a replacement for more complex analysis methods, but rather, a supplement to them. POV is ideal for preliminary analysis due to the ease of implementation, the simplicity of interpretation, and the lack of dependency on statistical analysis packages or statistical knowledge. / Dissertation/Thesis / Masters Thesis Industrial Engineering 2015

Identiferoai:union.ndltd.org:asu.edu/item:36478
Date January 2015
ContributorsLittle, David John (Author), Borror, Connie (Advisor), Montgomery, Douglas (Committee member), Broatch, Jennifer (Committee member), Arizona State University (Publisher)
Source SetsArizona State University
LanguageEnglish
Detected LanguageEnglish
TypeMasters Thesis
Format60 pages
Rightshttp://rightsstatements.org/vocab/InC/1.0/, All Rights Reserved

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