IDEAS home Printed from https://ideas.repec.org/a/gam/jmathe/v12y2024i4p514-d1335014.html
   My bibliography  Save this article

Assessment of the Overall Lifetime Performance Index of Weibull Products in Multiple Production Lines

Author

Listed:
  • Shu-Fei Wu

    (Department of Statistics, Tamkang University, Tamsui, New Taipei City 251037, Taiwan)

  • Kuan-Yi Chiang

    (Department of Statistics, Tamkang University, Tamsui, New Taipei City 251037, Taiwan)

Abstract

Process capability indices have been extensively employed to assess process performance in order to drive ongoing enhancements in quality and productivity, where the larger, the better for these lifetime performance indices. For multiple production lines, an overall lifetime performance index is proposed and the relationship between the overall lifetime performance index and the individual lifetime performance index is displayed. For products with lifetimes following the Weibull distribution for the i th production line, the maximum likelihood estimator and asymptotic distribution for the individual lifetime performance index were investigated so that the maximum likelihood estimator and asymptotic distribution for the overall lifetime performance index were also derived. Based on the pre-assigned target value of the overall lifetime performance index, the target value of an individual lifetime performance index could be determined. To test whether the overall lifetime performance index reached the target value was equivalent to testing whether the individual lifetime performance index reached the corresponding target value. The testing procedure based on the maximum likelihood estimator is given in this paper and the analysis of test power is displayed by figures. Finally, one practical example is given to illustrate the use of this testing algorithmic procedure to determine whether the overall production process was capable.

Suggested Citation

  • Shu-Fei Wu & Kuan-Yi Chiang, 2024. "Assessment of the Overall Lifetime Performance Index of Weibull Products in Multiple Production Lines," Mathematics, MDPI, vol. 12(4), pages 1-16, February.
  • Handle: RePEc:gam:jmathe:v:12:y:2024:i:4:p:514-:d:1335014
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2227-7390/12/4/514/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/2227-7390/12/4/514/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Shu-Fei Wu & Meng-Zong Song, 2023. "Experimental Design for Progressive Type I Interval Censoring on the Lifetime Performance Index of Chen Lifetime Distribution," Mathematics, MDPI, vol. 11(6), pages 1-16, March.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Shu-Fei Wu & Yu-Lun Huang, 2024. "The Assessment of the Overall Lifetime Performance Index of Chen Products with Multiple Components," Mathematics, MDPI, vol. 12(13), pages 1-21, July.
    2. Shu-Fei Wu & Pei-Hsuan Kuo & Wen-Shuenn Deng, 2024. "The Computational Testing Procedure for the Comprehensive Lifetime Performance Index of Burr XII Products in Multiple Production Lines," Mathematics, MDPI, vol. 12(4), pages 1-19, February.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jmathe:v:12:y:2024:i:4:p:514-:d:1335014. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.