Abbasi Ganji, Z., Sadeghpour Gildeh, B. (2016). Assessing process performance with incapability index based on fuzzy critical value. Iranian Journal of Fuzzy Systems, 13(5), 21-34. doi: 10.22111/ijfs.2016.2731
Zainab Abbasi Ganji; Bahram Sadeghpour Gildeh. "Assessing process performance with incapability index based on fuzzy critical value". Iranian Journal of Fuzzy Systems, 13, 5, 2016, 21-34. doi: 10.22111/ijfs.2016.2731
Abbasi Ganji, Z., Sadeghpour Gildeh, B. (2016). 'Assessing process performance with incapability index based on fuzzy critical value', Iranian Journal of Fuzzy Systems, 13(5), pp. 21-34. doi: 10.22111/ijfs.2016.2731
Abbasi Ganji, Z., Sadeghpour Gildeh, B. Assessing process performance with incapability index based on fuzzy critical value. Iranian Journal of Fuzzy Systems, 2016; 13(5): 21-34. doi: 10.22111/ijfs.2016.2731
Assessing process performance with incapability index based on fuzzy critical value
Department of Statistics, Faculty of Mathematical Sciences, Ferdowsi University of Mashhad, Mashhad, Iran
Abstract
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.
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