Computational procedure of performance assessment of lifetime index of products for the weibull distribution with the progressive first-failure- censored sampling plan

Abstract

Process capability analysis has been widely applied in the field of quality control to monitor the performance of industrial processes. In practice, lifetime performance index C L is a popular means to assess the performance and potential of their processes, where L is the lower specification limit. This study will apply the large-sample theory to construct a maximum likelihood estimator (MLE) of C L with the progressive first-failure-censored sampling plan under the Weibull distribution. The MLE of C L is then utilized to develop a new hypothesis testing procedure in the condition of known L. Copyright © 2012 Ching-Wen Hong et al.