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Reliability Sampling Design for the Lifetime Performance Index of Gompertz Lifetime Distribution under Progressive Type I Interval Censoring

Author

Listed:
  • Shu-Fei Wu

    (Department of Statistics, Tamkang University, Taipei 251301, Taiwan)

  • Yi-Jun Xie

    (Department of Statistics, Tamkang University, Taipei 251301, Taiwan)

  • Mao-Feng Liao

    (Department of Statistics, Tamkang University, Taipei 251301, Taiwan)

  • Wei-Tsung Chang

    (Department of Computer Science, University of Taipei, Taipei 100234, Taiwan)

Abstract

In this artificial intelligence era, the constantly changing technology makes production techniques become sophisticated and complicated. Therefore, manufacturers are dedicated to improving the quality of products by increasing the lifetime in order to achieve the quality standards demanded by consumers. For products with lifetime following a Gompertz distribution, the lifetime performance index was used to measure the performance of manufacturing process under progressive type I interval censoring. The sampling design is investigated to reach the given level of significance and power level. When inspection interval length is fixed and the number of inspection intervals is not fixed, the required number of inspection intervals and sample size with minimum total cost are determined and tabulated. When the termination time is not fixed, the required number of inspection intervals, sample size, and equal interval length reaching the minimum total cost are determined and tabulated. The optimal parameter values are tabulated for the practical use of users. Finally, one practical example is given for the illustrative aim to show the implementation of this sampling design to collect data and the collected data are used to conduct the testing procedure to see if the process is capable.

Suggested Citation

  • Shu-Fei Wu & Yi-Jun Xie & Mao-Feng Liao & Wei-Tsung Chang, 2021. "Reliability Sampling Design for the Lifetime Performance Index of Gompertz Lifetime Distribution under Progressive Type I Interval Censoring," Mathematics, MDPI, vol. 9(17), pages 1-18, August.
    • Handle: RePEc:gam:jmathe:v:9:y:2021:i:17:p:2109-:d:626697
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    References listed on IDEAS

    as
    1. Wu, Shu-Fei & Lin, Ying-Po, 2016. "Computational testing algorithmic procedure of assessment for lifetime performance index of products with one-parameter exponential distribution under progressive type I interval censoring," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 120(C), pages 79-90.
    2. Shuo‐Jye Wu & Ying‐Po Lin & Yi‐Ju Chen, 2006. "Planning step‐stress life test with progressively type I group‐censored exponential data," Statistica Neerlandica, Netherlands Society for Statistics and Operations Research, vol. 60(1), pages 46-56, February.
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    Citations

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    Cited by:

    1. Shu-Fei Wu & Tzu-Hsuan Liu & Yu-Hua Lai & Wei-Tsung Chang, 2022. "A Study on the Experimental Design for the Lifetime Performance Index of Rayleigh Lifetime Distribution under Progressive Type I Interval Censoring," Mathematics, MDPI, vol. 10(3), pages 1-15, February.
    2. Francisco Ureña & Ángel García & Antonio M. Vargas, 2022. "Preface to “Applications of Partial Differential Equations in Engineering”," Mathematics, MDPI, vol. 11(1), pages 1-4, December.

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