Development of a new process incapability index with an application to the evaluation of manufacturing risk

Jeh Nan Pan, Chun Yi Lee

Research output: Contribution to journalArticlepeer-review

2 Citations (Scopus)

Abstract

Process capability indices have been widely used in industry today since they provide quantitative measures of process performance. Instead of using process capability index, the process incapability index Cpp introduced by Greenwich and Jahr-Schaffrath (1995) has an advantage of separating the information of process accuracy and precision for a symmetric tolerance. Using Cpp process incapability index, the process performance and its risk level can easily be understood by quality practitioners. Another process incapability index [image omitted] proposed by Chen (1998) is to measure the process performance for an asymmetric tolerance. However, it can't correctly reflect the true manufacturing risk. In order to accurately measure the process performance for both symmetric and asymmetric tolerances, a new process incapability index [image omitted] using desirability function is proposed in this article. The relationship between various new process incapability indices and their associated nonconforming rates has also been explored. Finally, two numerical examples show that our new process incapability index can be used in the evaluation of manufacturing risk.

Original languageEnglish
Pages (from-to)1133-1153
Number of pages21
JournalCommunications in Statistics - Theory and Methods
Volume38
Issue number8
DOIs
Publication statusPublished - 2009 Jan 1

All Science Journal Classification (ASJC) codes

  • Statistics and Probability

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