Title : ( ASSESSING PROCESS PERFORMANCE WITH INCAPABILITY INDEX BASED ON FUZZY CRITICAL VALUE )
Authors: Zainab Abbasi Ganji , Bahram Sadeghpour Gildeh ,Access to full-text not allowed by authors
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 [5]. 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.
Keywords
, Process incapability index, Fuzzy sets, Hypothesis testing, Critical value.@article{paperid:1059267,
author = {Abbasi Ganji, Zainab and Sadeghpour Gildeh, Bahram},
title = {ASSESSING PROCESS PERFORMANCE WITH INCAPABILITY INDEX BASED ON FUZZY CRITICAL VALUE},
journal = {Iranian Journal of Fuzzy Systems},
year = {2016},
volume = {13},
number = {5},
month = {October},
issn = {1735-0654},
pages = {21--34},
numpages = {13},
keywords = {Process incapability index; Fuzzy sets; Hypothesis testing; Critical value.},
}
%0 Journal Article
%T ASSESSING PROCESS PERFORMANCE WITH INCAPABILITY INDEX BASED ON FUZZY CRITICAL VALUE
%A Abbasi Ganji, Zainab
%A Sadeghpour Gildeh, Bahram
%J Iranian Journal of Fuzzy Systems
%@ 1735-0654
%D 2016