On process capability analysis under fuzzy normal distribution

Ihsan Kaya*, Cengiz Kahraman

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

2 Citations (Scopus)

Abstract

Process capability indices (PCIs) are very useful statistics to summarize process" distribution and width. They are one of the resit lts of process capability analysis. This analysis is based on normal distribution approximation which is used to calculate the probability of the process to produce between and out of specification limits. In this paper, process ability which is defined as produce conforming items is analyzed by taking fuzzy normal distribution into account. Mean, standard deviation and specification limits are defined as triangular and trapezoidal fuzzy numbers, respectively. Then fuzzy probabilities of conforming and nonconforming items are calculated.

Original languageEnglish
Title of host publicationProceedings of 2008 3rd International Conference on Intelligent System and Knowledge Engineering, ISKE 2008
Pages424-428
Number of pages5
DOIs
Publication statusPublished - 2008
EventProceedings of 2008 3rd International Conference on Intelligent System and Knowledge Engineering, ISKE 2008 - Xiamen, China
Duration: 17 Nov 200819 Nov 2008

Publication series

NameProceedings of 2008 3rd International Conference on Intelligent System and Knowledge Engineering, ISKE 2008

Conference

ConferenceProceedings of 2008 3rd International Conference on Intelligent System and Knowledge Engineering, ISKE 2008
Country/TerritoryChina
CityXiamen
Period17/11/0819/11/08

Fingerprint

Dive into the research topics of 'On process capability analysis under fuzzy normal distribution'. Together they form a unique fingerprint.

Cite this