Paper Title :Testing Weibull Process Yield using The Markov Chain Monte Carlo Method
Author :Mou-Yuan Liao
Article Citation :Mou-Yuan Liao ,
(2018 ) " Testing Weibull Process Yield using The Markov Chain Monte Carlo Method " ,
International Journal of Management and Applied Science (IJMAS) ,
pp. 13-15,
Volume-4,Issue-10
Abstract : Process capability index pk C is a popular index used to make managerial decisions on quality assurance because
it provides bounds on the process yield of a normally distributed process. However, the normality assumption is often invalid,
so it has become challenging for quality managers to accurately assess pk C values. In this study, we provide an alternative
method for assessing the pk C value of a non-normal process. The Markov chain Monte Carlo method was integrated into a
Bayesian model and adapted to determine the empirical posterior distributions of pk C and thereby obtain the credible
intervals for testing pk C .
Keywords - Bayesian; Markov chain Monte Carlo; Process capability.
Type : Research paper
Published : Volume-4,Issue-10
DOIONLINE NO - IJMAS-IRAJ-DOIONLINE-14047
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Copyright: © Institute of Research and Journals
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Published on 2019-01-03 |
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