IDEAS home Printed from https://ideas.repec.org/a/ids/ijpmbe/v8y2018i2p228-245.html
   My bibliography  Save this article

Integrating agile thinking into maintenance strategy performance analysis

Author

Listed:
  • Priyank Srivastava
  • Dinesh Khanduja
  • Vishnu P. Agrawal

Abstract

Machinery, equipment and tooling maintenance cost are amongst the main contributors to cost of production in any manufacturing firm. Reducing cost of maintenance practices by eliminating waste or unwanted intermediate processes and selecting optimum maintenance strategy can result in win-win situation to get competitive edge in present day dynamic market where end user requirement is highly specific and rapidly changing. The aim of this paper is to integrate agile thinking with evaluation of different maintenance strategies for different equipment at a selected thermal power station. The paper also explores selection of optimum maintenance strategies at a power plant using extent analysis of fuzzy AHP.

Suggested Citation

  • Priyank Srivastava & Dinesh Khanduja & Vishnu P. Agrawal, 2018. "Integrating agile thinking into maintenance strategy performance analysis," International Journal of Process Management and Benchmarking, Inderscience Enterprises Ltd, vol. 8(2), pages 228-245.
  • Handle: RePEc:ids:ijpmbe:v:8:y:2018:i:2:p:228-245
    as

    Download full text from publisher

    File URL: http://www.inderscience.com/link.php?id=90785
    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.

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Priyank Srivastava & Dinesh Khanduja & V. P. Agrawal, 2020. "Agile maintenance attribute coding and evaluation based decision making in sugar manufacturing plant," OPSEARCH, Springer;Operational Research Society of India, vol. 57(2), pages 553-583, June.
    2. Dilbagh Panchal & Priyank Srivastava, 2019. "Qualitative analysis of CNG dispensing system using fuzzy FMEA–GRA integrated approach," International Journal of System Assurance Engineering and Management, Springer;The Society for Reliability, Engineering Quality and Operations Management (SREQOM),India, and Division of Operation and Maintenance, Lulea University of Technology, Sweden, vol. 10(1), pages 44-56, February.
    3. Priyank Srivastava & Dinesh Khanduja & Subramaniam Ganesan, 2020. "Fuzzy methodology application for risk analysis of mechanical system in process industry," International Journal of System Assurance Engineering and Management, Springer;The Society for Reliability, Engineering Quality and Operations Management (SREQOM),India, and Division of Operation and Maintenance, Lulea University of Technology, Sweden, vol. 11(2), pages 297-312, April.

    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:ijpmbe:v:8:y:2018:i:2:p:228-245. 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=95 .

    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.