Assessing process performance with incapability index based on fuzzy critical value

Process capability indices are considered as an important concept in statistical quality control. They have been widely used in the manufacturing industry to provide numerical measures on process performance. Moreover, some incapability indices have been introduced to account the process performance...

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Bibliographic Details
Published inIranian journal of fuzzy systems (Online) Vol. 13; no. 5; p. 21
Main Authors Abbasi Ganji, Zainab, Sadeghpour Gildeh, Bahram
Format Journal Article
LanguageEnglish
Published Zahedan University of Sistan and Baluchestan, Iranian Journal of Fuzzy Systems 01.10.2016
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Summary:Process capability indices are considered as an important concept in statistical quality control. They have been widely used in the manufacturing industry to provide numerical measures on process performance. Moreover, some incapability indices have been introduced to account the process performance. In this paper, we focus on the one proposed by Chen ~\cite{Che:Stat}. In today's modern world, accurate and flexible information is needed. So, we apply fuzzy logic to measure the process incapability. Buckley's approach is used to fuzzify this index and to make a decision on process incapability, we utilize fuzzy critical value. Numerical examples are presented to demonstrate the performance and effectiveness of the proposed index.
ISSN:1735-0654
2676-4334
DOI:10.22111/ijfs.2016.2731