ProcessCapabilityR: Classical and Generalized Process Capability Indices
Computes classical process capability indices (Cp, Cpk, Cpu, Cpl,
Cpm, Cpmk, Pp, Ppk, Ppu, Ppl, Z) and the generalized process capability
index Cpy (Maiti, Saha & Nanda, 2010) <doi:10.1080/16843703.2010.11673233>
for any continuous or discrete quality characteristic. Users supply the
probability density function (PDF) and cumulative distribution function (CDF)
of the characteristic, and the package returns point estimates, bootstrap
confidence intervals (percentile and BCa), and sensitivity tables/plots
across ranges of short-term standard deviation (sigma), long-term standard
deviation (s), desired yield (p0), and significance levels. Classical indices
are recoverable as special cases under the normal distribution. The package
follows the theory and notation of Kane (1986) <doi:10.1080/00224065.1986.11978984>,
Chan, Cheng & Spiring (1988) <doi:10.1080/00224065.1988.11979102>,
Pearn, Kotz & Johnson (1992) <doi:10.1080/00224065.1992.11979403>,
Kotz & Johnson (2002) <doi:10.1080/00224065.2002.11980119>,
Montgomery (2020, ISBN:978-1-119-39930-8), Juran (1974, ISBN:978-0-07-033176-1),
Harry & Schroeder (2000, ISBN:978-0-385-49437-2), and the AIAG SPC Reference
Manual (2005, ISBN:978-1-60534-026-3).
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[aut, cre],
Sumit Kumar [aut],
Vrijesh Tripathi [aut]