Title :
On process capability analysis under fuzzy normal distribution
Author :
Kaya, Ihsan ; Kahraman, Cengiz
Author_Institution :
Dept. of Ind. Eng., Istanbul Tech. Univ., Istanbul, Turkey
Abstract :
Process capability indices (PCIs) are very useful statistics to summarize process¿ distribution and width. They are one of the results 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.
Keywords :
fuzzy set theory; manufacturing processes; normal distribution; fuzzy normal distribution; fuzzy probabilities; normal distribution approximation; process capability analysis; process capability indices; process distribution; specification limits; standard deviation; trapezoidal fuzzy numbers; triangular fuzzy numbers; Fuzzy systems; Gaussian distribution; Industrial engineering; Intelligent systems; Job design; Knowledge engineering; Manufacturing processes; Performance analysis; Probability; Statistical distributions;
Conference_Titel :
Intelligent System and Knowledge Engineering, 2008. ISKE 2008. 3rd International Conference on
Conference_Location :
Xiamen
Print_ISBN :
978-1-4244-2196-1
Electronic_ISBN :
978-1-4244-2197-8
DOI :
10.1109/ISKE.2008.4730967