IDEAS home Printed from https://ideas.repec.org/a/ids/ijpqma/v30y2020i3p354-370.html
   My bibliography  Save this article

Optimal reliability acceptance sampling plan based on accelerated life test data

Author

Listed:
  • P.C. Ramyamol
  • Mahesh Kumar

Abstract

In constant stress accelerated life testing, a unit is tested at a fixed stress level until failure or the termination time point of test. Assuming a log linear life-stress relationship, two different acceptance sampling plans namely: 1) acceptance sampling based on asymptotic distribution of the estimator process capability index (ĈL); 2) acceptance sampling based on exact distribution of ĈL, are developed for exponential distribution based on data obtained from the progressive type-II censoring. Asymptotic and exact distributions of the estimators of the parameters of exponential distribution are obtained. The parameters of the sampling scheme are obtained by minimising expected total testing cost. Some numerical results and comparisons of obtained sampling schemes are presented in tables to illustrate our plans.

Suggested Citation

  • P.C. Ramyamol & Mahesh Kumar, 2020. "Optimal reliability acceptance sampling plan based on accelerated life test data," International Journal of Productivity and Quality Management, Inderscience Enterprises Ltd, vol. 30(3), pages 354-370.
    • Handle: RePEc:ids:ijpqma:v:30:y:2020:i:3:p:354-370
    as

    Download full text from publisher

    File URL: http://www.inderscience.com/link.php?id=108377
    Download Restriction: Access to full text is restricted to subscribers.
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    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:ids:ijpqma:v:30:y:2020:i:3:p:354-370. 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.

    We have no bibliographic references for this item. You can help adding them by using 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: Sarah Parker (email available below). General contact details of provider: http://www.inderscience.com/browse/index.php?journalID=177 .

    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.