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Multivariate Statistical Quality Control Using RMultivariate Process Capability Indices (MPCI)

Multivariate Statistical Quality Control Using R: Multivariate Process Capability Indices (MPCI) [In this chapter the most recognized multivariate process capability indices are presented. The first section approaches the computation of these indices in R, and the next ones are dedicated to the indices based on ratios of the volume tolerance region to a process region such as Taam et al. (J Appl Stat 20:339–351, 1993), Shahriari et al. (Proceedings of the 4th Industrial Engineering Research Conference 1:304–309, 1995), and Pan and Lee (Qual Reliab Eng Int 26(1):3–15, 2010). While the last part of the chapter focuses on the indices derived of principal component analysis.] http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png

Multivariate Statistical Quality Control Using RMultivariate Process Capability Indices (MPCI)

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Publisher
Springer New York
Copyright
© Springer Science+Business Media New York 2012
ISBN
978-1-4614-5452-6
Pages
63 –85
DOI
10.1007/978-1-4614-5453-3_3
Publisher site
See Chapter on Publisher Site

Abstract

[In this chapter the most recognized multivariate process capability indices are presented. The first section approaches the computation of these indices in R, and the next ones are dedicated to the indices based on ratios of the volume tolerance region to a process region such as Taam et al. (J Appl Stat 20:339–351, 1993), Shahriari et al. (Proceedings of the 4th Industrial Engineering Research Conference 1:304–309, 1995), and Pan and Lee (Qual Reliab Eng Int 26(1):3–15, 2010). While the last part of the chapter focuses on the indices derived of principal component analysis.]

Published: Aug 23, 2012

Keywords: Quality Characteristic; Control Chart; Capability Index; Tolerance Region; Rational Subgroup

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