IDEAS home Printed from https://ideas.repec.org/a/ids/ijisen/v41y2022i3p277-294.html
   My bibliography  Save this article

Availability analysis using Markovian approach and maintenance planning of a process industry

Author

Listed:
  • Nitin Panwar
  • Sanjeev Kumar

Abstract

In the present paper, a probabilistic method for stochastic modelling and performance evaluation of a pulping unit is suggested. The paper plant consists of various units like feeding, pulping system, bleaching system, screening system and paper production system. Pulping unit is one of the paper plant's most significant functional units, consisting of five repairable subsystems which are arranged in series. Using Markov process, differential equations are created after drawing transition diagram and these models are then used to discover the pulping unit's availability by considering the repair and failure information acquired from maintenance personnel. Based upon the various performance values for critical system using analytic hierarchy process (AHP), the priority weights of the considered criteria are found and ranking of failure causes are performed using vlse kriterijumska optimizacija kompromisno resenje (VIKOR) to find the most critical component.

Suggested Citation

  • Nitin Panwar & Sanjeev Kumar, 2022. "Availability analysis using Markovian approach and maintenance planning of a process industry," International Journal of Industrial and Systems Engineering, Inderscience Enterprises Ltd, vol. 41(3), pages 277-294.
    • Handle: RePEc:ids:ijisen:v:41:y:2022:i:3:p:277-294
    as

    Download full text from publisher

    File URL: http://www.inderscience.com/link.php?id=124060
    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:ijisen:v:41:y:2022:i:3:p:277-294. 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=188 .

    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.