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Multivariate Process Capability Indices (MPCI)

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Multivariate Statistical Quality Control Using R

Part of the book series: SpringerBriefs in Statistics ((BRIEFSSTATIST,volume 14))

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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.

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Authors and Affiliations

  1. Empresa de Telecomunicaciones de Cuba S.A. (ETECSA)., Villa Clara. D #17 between Carr. Camajuani and 1st. Santa Catalina., Santa Clara., 50300, Cuba

    Edgar Santos-Fernández (Marketing and Communication Group Head)

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  1. Edgar Santos-Fernández
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Santos-Fernández, E. (2012). Multivariate Process Capability Indices (MPCI). In: Multivariate Statistical Quality Control Using R. SpringerBriefs in Statistics, vol 14. Springer, New York, NY. https://doi.org/10.1007/978-1-4614-5453-3_3

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