Please use this identifier to cite or link to this item:
http://hdl.handle.net/10773/28230
Title: | Multivariate GR&R through factor analysis |
Author: | Marques, Rafaela Aparecida Mendonça Pereira, Robson Bruno Dutra Peruchi, Rogério Santana Brandão, Lincoln Cardoso Ferreira, João Roberto Davim, J. Paulo |
Keywords: | Multivariate GR&R Factor analysis Helical milling Roughness Roundness |
Issue Date: | Feb-2020 |
Publisher: | Elsevier |
Abstract: | Several measurement tasks present multivariate nature. In the cases with quality characteristics highly correlated within groups, but with a relatively small correlation between groups, the available multivariate GR&R methods are not suitable to provide a correct interpretation of the results. The present work presents a new multivariate GR&R approach through factor analysis. Factor analysis is a multivariate statistical method which focuses on the explanation of the covariance structure of the data. Through orthogonal rotation of the factors a suitable structure can be achieved with loadings easy to relate the variables to the factors. The proposed multivariate GR&R method through factor analysis is described and applied in the quality evaluation of holes obtained through helical milling process of AISI H13 hardened steel. The method succeeded in achieving a simple structure, with one factor related to the roughness outcomes and other related to the roundness ones, simplifying the gage capability evaluation. |
Peer review: | yes |
URI: | http://hdl.handle.net/10773/28230 |
DOI: | 10.1016/j.measurement.2019.107107 |
ISSN: | 0263-2241 |
Appears in Collections: | TEMA - Artigos DEM - Artigos |
Files in This Item:
File | Description | Size | Format | |
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Multivariate GR&R through Factor Analysis.pdf | 4.28 MB | Adobe PDF | View/Open |
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