A Review on Fuzzy Control Charts for Monitoring Attribute Data

Zabihinpour Jahromi, Seyed Mojtaba; Saghaei, Abbas; Mohd Ariffin, Mohd Khairol Anuvar

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Home > Applied Mechanics and Materials > Advanced Manufacturing Technology and Systems > A Review on Fuzzy Control Charts for Monitoring...

Paper Title:

A Review on Fuzzy Control Charts for Monitoring Attribute Data

Periodical	Applied Mechanics and Materials (Volume 159)
Main Theme	Advanced Manufacturing Technology and Systems
Edited by	Jing Wu and Hao Xie
Pages	23-28
DOI	10.4028/www.scientific.net/AMM.159.23
Citation	Seyed Mojtaba Zabihinpour Jahromi et al., 2012, Applied Mechanics and Materials, 159, 23
Online since	March, 2012
Authors	Seyed Mojtaba Zabihinpour Jahromi, Abbas Saghaei, Mohd Khairol Anuvar Mohd Ariffin
Keywords	Attribute Data, Control Chart, Fuzzy Set Theory, Statistical Process Control (SPC)
Price	US$ 28,-

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Abstract

Up to now, several methods have been proposed for monitoring processes with attribute data. These methods can be categorized into two major group; statistical methods and fuzzy methods. In this paper current fuzzy methods are introduced and the performance of fuzzy methods and statistical methods are compared together based on the Average Run Length (ARL). The comparison shows that the statistical method has the best performance. We show the necessity of using fuzzy method in case of attribute data. Then the critiques towards fuzzy methods are reviewed which show the usage of fuzzy set theory in these methods have some restriction. As a result we indicate a study gap about the usage of fuzzy set theory for monitoring processes with attribute data and at the end some guideline for the next study are proposed.