IDEAS home Printed from https://ideas.repec.org/a/bpj/ecqcon/v25y2010i1p109-125n10.html
   My bibliography  Save this article

A Bounded Intensity Process Reliability Growth Model in a Bayes-Decision Framework

Author

Listed:
  • Srivastava Preeti Wanti

    (Department of Operational Research, University of Delhi, Delhi-110007, India. E-mail: pw_srivastava@yahoo.co.in)

  • Jain Nidhi

    (Department of Operational Research, University of Delhi, Delhi-110007, India. E-mail: nidhi.university@gmail.com)

Abstract

In this paper a Bounded Intensity Process (BIP) reliability growth model is used to analyze the failure data from repairable systems undergoing a Test-Find-Test growth program, in a Bayes-decision framework. Such an analysis is helpful in improving system reliability. Several identical copies of the equipment are put on test at each development stage. At the end of each stage, a decision between two alternative actions, viz., (a) to accept the current design of the system for mass production, or (b) to continue the development program, is made. The mean number of failures in a prefixed time interval is used to measure the system reliability at each testing stage, so that the decision process is based on the posterior distribution of this quantity and on specific loss functions that measure the economical consequences associated with each alternative action. A numerical example is used to illustrate the decision process.

Suggested Citation

  • Srivastava Preeti Wanti & Jain Nidhi, 2010. "A Bounded Intensity Process Reliability Growth Model in a Bayes-Decision Framework," Stochastics and Quality Control, De Gruyter, vol. 25(1), pages 109-125, January.
    • Handle: RePEc:bpj:ecqcon:v:25:y:2010:i:1:p:109-125:n:10
    DOI: 10.1515/eqc.2010.013
    as

    Download full text from publisher

    File URL: https://doi.org/10.1515/eqc.2010.013
    Download Restriction: For access to full text, subscription to the journal or payment for the individual article is required.
    File URL: https://libkey.io/10.1515/eqc.2010.013?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

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

    More about this item

    Statistics

    Access and download statistics

    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:bpj:ecqcon:v:25:y:2010:i:1:p:109-125:n:10. 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: Peter Golla (email available below). General contact details of provider: https://www.degruyter.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.