2010
DOI: 10.1080/16843703.2010.11673233
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On Generalizing Process Capability Indices

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Cited by 51 publications
(38 citation statements)
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“…By suitable analysis of the PCIs, a production department can trace and improve a poor process to enhance the quality level and satisfy customer requirements (the reader can see Castagliola & Castellanos, 2005;Kotz & Lovelace, 1998;Maiti, Saha, & Nanda, 2010;Pearn & Kotz, 2006;Pearn & Wu, 2013;Pearn, Wu, & Wang, 2004;Spiring, Leung, Cheng, & Yeung, 2003;V€ annman, 2006;Wu, Pearn, & Kotz, 2009;Wu, Liao, & Yang, 2013 for more information about the theoretical issues and practical applications of PCIs).…”
Section: Introductionmentioning
confidence: 98%
“…By suitable analysis of the PCIs, a production department can trace and improve a poor process to enhance the quality level and satisfy customer requirements (the reader can see Castagliola & Castellanos, 2005;Kotz & Lovelace, 1998;Maiti, Saha, & Nanda, 2010;Pearn & Kotz, 2006;Pearn & Wu, 2013;Pearn, Wu, & Wang, 2004;Spiring, Leung, Cheng, & Yeung, 2003;V€ annman, 2006;Wu, Pearn, & Kotz, 2009;Wu, Liao, & Yang, 2013 for more information about the theoretical issues and practical applications of PCIs).…”
Section: Introductionmentioning
confidence: 98%
“…Pearn, Kotz, and Johnson (1992) introduced another process capability index, C pmk , which considers the difference between process mean and specification center. Recently, some researchers, for example Grau (2010Grau ( , 2012, Maiti, Saha, and Nanda (2010), and Pearn and Wu (2013), proposed the generalization and application of the aforementioned capability indices. Kargar, Mashinchi, and Parchami (2013) adopted a Bayesian approach based on subsamples to check process capability.…”
Section: Introductionmentioning
confidence: 99%
“…Besides, there are numerous PCIs, and their analysis for different conditions are available in the literature for both normal and non-normal process quality characteristic(s) (see Clements, 6 Gunter, 5 Rodriguez, 7 Pearn & Chen, 8 Yeh & Bhattarchya, 9 Shore, 10 Polansky, 11 and Perakis & Xekalaki 12 ). In the recent past, Maiti et al 13 developed a GPCI C py that is directly or indirectly related with most of the PCIs defined in the literature. Besides, it covers normal as well as non-normal and continuous as well as discrete random variables and is defined as:…”
Section: Introductionmentioning
confidence: 99%