Approximately unbiased estimator for non-normal process capability index CNpk

W.l. Pearn*, Y. T. Tai, I. F. Hsiao, Y. P. Ao

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

11 Scopus citations

Abstract

Process capability indices (PCIs) have been extensively used to evaluate and measure whether the process meets the specifications and they provide quality assurance and guide a principal for quality improvement. The index Cpk is the most popular index and is widely used in the manufacturing industry for manufacturing yield evaluation. However, typical evaluations of Cpk depend heavily on the assumption of normal variability. When the underlying distributions are non-normal, the capability evaluations are highly unreliable. In the paper, we apply four various bootstrap methods to construct lower confidence bounds of CNpk for non-normal processes. We also propose an approximately unbiased estimator of CNpk for the non-normal processes. Comparisons among the four bootstrap methods with different estimators are provided.

Original languageEnglish
JournalJournal of Testing and Evaluation
Volume42
Issue number6
DOIs
StatePublished - 1 Nov 2014

Keywords

  • Bootstrap
  • Lower confidence bound
  • Non-normal process

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