IDEAS home Printed from https://ideas.repec.org/a/igg/jban00/v1y2014i2p34-47.html
   My bibliography  Save this article

Reliability Analysis for Degrading Systems with 100% Quality Inspection after Burn-In

Author

Listed:
  • Hao Peng

    (Department of Industrial Engineering and Innovation Science, Eindhoven University of Technology, Eindhoven, The Netherlands)

  • Qianmei Feng

    (Department of Industrial Engineering, University of Houston, Houston, TX, USA)

Abstract

Integrated quality and reliability models should be developed to improve system performance simultaneously, because quality and reliability are inherently related in a sense that quality inspection and monitoring decisions impact anticipated reliability and failure time distributions. Especially for degrading systems, important decisions including burn-in, quality inspection and preventive maintenance should be incorporated into an integrated model considering manufacturing variability and associated failure mechanisms. For various linear and non-linear degradation models, this paper develops conditional reliability functions and truncated failure time distributions considering the impacts of burn-in and quality inspection at manufacturing phase. It shows that burn-in and quality inspection policies have significant impacts on reliability performance of products in field operation. Numerical examples are provided to demonstrate the results. The developed reliability models can be readily used for optimizing burn-in, quality inspection and maintenance decisions simultaneously.

Suggested Citation

  • Hao Peng & Qianmei Feng, 2014. "Reliability Analysis for Degrading Systems with 100% Quality Inspection after Burn-In," International Journal of Business Analytics (IJBAN), IGI Global, vol. 1(2), pages 34-47, April.
  • Handle: RePEc:igg:jban00:v:1:y:2014:i:2:p:34-47
    as

    Download full text from publisher

    File URL: http://services.igi-global.com/resolvedoi/resolve.aspx?doi=10.4018/ijban.2014040103
    Download Restriction: no
    ---><---

    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:igg:jban00:v:1:y:2014:i:2:p:34-47. 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: Journal Editor (email available below). General contact details of provider: https://www.igi-global.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.