Volume 27, Number 2 (IJIEPR 2016)                   IJIEPR 2016, 27(2): 141-148 | Back to browse issues page



DOI: 10.22068/ijiepr.27.2.141

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Keshavarzi R, Abooie M H. Introducing Triangular Fuzzy Process Capability Indices to Evaluate Performance of Continuous Production Process. IJIEPR. 2016; 27 (2) :141-148
URL: http://ijiepr.iust.ac.ir/article-1-543-en.html

PHD , Mhabooie@yazd.ac.ir
Abstract:   (1098 Views)

Process capability indices (PCIs) can be used as an effective tool for measuring product quality and process performance. In classic quality control there are some limitations which prevent a deep and flexible analysis because of the crisp definition of PCA‟s parameters. Fuzzy set theory can be used to add more flexibility to process capability analyses. In this study, the fuzzy X ba and MRx ba control charts are introduced to monitor continuous production process in triangular fuzzy state. Also, fuzzy PCIs are produced when SLs and measurements are triangular fuzzy numbers (TFN). For this aim, a computer program is coded in Matlab software. The fuzzy control charts is applied in Yazd fiber production plant. The results show that in continuous production processes, the better analysis will be performed by using fuzzy measurements. Also, based on the fuzzy capability indices, we can have a flexible analysis of the process performance.

Full-Text [PDF 335 kb]   (320 Downloads)    
Subject: Quality Control
Received: 2013/07/27 | Accepted: 2016/12/3 | Published: 2016/12/6

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