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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, particul... (more)
Created Date 2015
Contributor Little, David John (Author) / Borror, Connie (Advisor) / Montgomery, Douglas (Committee member) / Broatch, Jennifer (Committee member) / Arizona State University (Publisher)
Subject Industrial engineering / Statistics / Engineering / Gauge R&R / Manufacturing / Measurement Systems Analysis / Partition of Variance / Quality / Six Sigma
Type Masters Thesis
Extent 60 pages
Language English
Copyright
Reuse Permissions All Rights Reserved
Note Masters Thesis Industrial Engineering 2015
Collaborating Institutions Graduate College / ASU Library
Additional Formats MODS / OAI Dublin Core / RIS


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Description Dissertation/Thesis