Estimating capability index Cpk for processes with asymmetric tolerances

W.l. Pearn*, G. H. Lin

*Corresponding author for this work

Research output: Contribution to journalArticle

7 Scopus citations

Abstract

Pearn and Chen (1996) considered the process capability index Cpk, and investigated the statistical properties of its natural estimator under various process conditions. Their investigation, however, was restricted to processes with symmetric tolerances. Recently, Pearn and Chen (1998) considered a generalization of Cpk, referred to as Cpk•, to cover processes with asymmetric tolerances. They investigated the statistical properties of the natural estimator of Cpk, and obtained the exact formulae for the expected value and variance. In this paper, we consider a new estimator of Cpk, assuming the knowledge on P(μ ≥ T) = p is available, where 0 ≤ p ≤ 1, which can be obtained from historical information of a stable process. We obtain the exact distribution of the new estimator assuming the process characteristic follows the normal distribution. We show that the new estimator is consistent, asymptotically unbiased, which converges to a mixture of two normal distributions. We also show that by adding suitable correction factors to the new estimator, we may obtain the UMVUE and the MLE of the generalization Cpk.

Original languageEnglish
Pages (from-to)2593-2604
Number of pages12
JournalCommunications in Statistics - Theory and Methods
Volume29
Issue number11
DOIs
StatePublished - 1 Dec 2000

Keywords

  • Process capability index
  • Process mean
  • Process standard deviation
  • Specification limit

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