Experimental Design for the Lifetime Performance Index of Weibull Products Based on the Progressive Type I Interval Censored Sample

• Main Authors: Shu-Fei Wu, Yu-Cheng Wu, Chi-Han Wu, Wei-Tsung Chang
• Format: Article
• Language: English
• Published: MDPI AG 2021-09-01
• Series: Symmetry
• Subjects: censored sample; Weibull distribution; maximum likelihood estimator; process capability indices; testing algorithmic procedure; sampling design
• Online Access: https://www.mdpi.com/2073-8994/13/9/1691

In this study, the experimental design is developed based on the testing procedure for the lifetime performance index of products following Weibull lifetime distribution under progressive type I interval censoring. This research topic is related to asymmetrical probability distributions and applications across disciplines. The asymptotic distribution of the maximum likelihood estimator of the lifetime performance index is utilized to develop the testing procedure. In order to reach the given power level, the minimum sample size is determined and tabulated. In order to minimize the total cost that occurred under progressive type I interval censoring, the sampling design is investigated to determine the minimum number of inspection intervals and equal interval lengths when the termination time of experiment is fixed or not fixed. For illustrative aims, one practical example is given for the implementation of our proposed sampling design to collect the progressive type I interval censored sample so that the users can use this sample to test if the lifetime performance index exceeds the desired target level.