IDEAS home Printed from https://ideas.repec.org/a/spr/opsear/v60y2023i4d10.1007_s12597-023-00684-7.html
   My bibliography  Save this article

Markov approach for reliability-availability-maintainability analysis of a three unit repairable system

Author

Listed:
  • A. D. Yadav

    (Maharshi Dayanand University)

  • N. Nandal

    (Maharshi Dayanand University)

  • S. Malik

    (Maharshi Dayanand University)

  • S. C. Malik

    (Maharshi Dayanand University)

Abstract

In this article, the use of Markov approach has been made to analyze the reliability, availability and maintainability of a repairable system. The system has three non-identical units which work simultaneously and system will completely be failed at the failure of all units. The distribution for failure and repair times is taken as negative exponential as transition rates follow homogenous continuous Markov process. The reliability measures are derived using Chapman-Kolmogorov equations. The use of Laplace transform technique has been made to solve the system equations. For particular values of the parameters, the reliability measures including reliability, MTSF, availability, MTTR and maintainability have been obtained considering all units identical in nature. The effect of failure rate, repair rate and operating time has been observed on these measures through graphs. The application of the research work has been discussed in case of crypto mining process.

Suggested Citation

  • A. D. Yadav & N. Nandal & S. Malik & S. C. Malik, 2023. "Markov approach for reliability-availability-maintainability analysis of a three unit repairable system," OPSEARCH, Springer;Operational Research Society of India, vol. 60(4), pages 1731-1756, December.
  • Handle: RePEc:spr:opsear:v:60:y:2023:i:4:d:10.1007_s12597-023-00684-7
    DOI: 10.1007/s12597-023-00684-7
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1007/s12597-023-00684-7
    File Function: Abstract
    Download Restriction: Access to the full text of the articles in this series is restricted.

    File URL: https://libkey.io/10.1007/s12597-023-00684-7?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.

    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:spr:opsear:v:60:y:2023:i:4:d:10.1007_s12597-023-00684-7. 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: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.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.