Paper Title
Testing Weibull Process Yield Using The Markov Chain Monte Carlo Method

Abstract
Process capability index 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 values. In this study, we provide an alternative method for assessing the 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 and thereby obtain the credible intervals for testing . Keywords - Bayesian; Markov chain Monte Carlo; Process capability.