IDEAS home Printed from https://ideas.repec.org/a/spr/snopef/v6y2025i1d10.1007_s43069-025-00428-x.html
   My bibliography  Save this article

Maximizing Business Process Efficiency in Industry 4.0: A Techno-Functional Exploration of Process Mining Tools

Author

Listed:
  • Hari Lal Bhaskar

    (Starex University)

  • Mohammad Osama

    (Madan Mohan Malviya University of Technology)

  • Reeta

    (Shri Ramswaroop Memorial University)

Abstract

This paper examines business process optimization through process mining in the context of Industry 4.0 using a qualitative research approach. It underscores how process mining facilitates microeconomic principles and efficiency and discusses a techno-functional approach to realizing BPM value, which can propel organizational change management. By analyzing secondary data, the study identifies key process mining tools relevant to Industry 4.0 and BPM, establishing selection criteria and exploring real-world applications. A hypothetical case study demonstrates the role of process mining in enhancing predictive maintenance and asset management by analyzing established processes. Additionally, the paper provides a tactical roadmap and a comparative framework for selecting tools aimed at optimizing or re-engineering business processes applicable across various business functions. It highlights how digitally enabled organizations can leverage data-driven insights to revamp legacy systems and achieve operational excellence.

Suggested Citation

  • Hari Lal Bhaskar & Mohammad Osama & Reeta, 2025. "Maximizing Business Process Efficiency in Industry 4.0: A Techno-Functional Exploration of Process Mining Tools," SN Operations Research Forum, Springer, vol. 6(1), pages 1-34, March.
    • Handle: RePEc:spr:snopef:v:6:y:2025:i:1:d:10.1007_s43069-025-00428-x
    DOI: 10.1007/s43069-025-00428-x
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1007/s43069-025-00428-x
    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/s43069-025-00428-x?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:snopef:v:6:y:2025:i:1:d:10.1007_s43069-025-00428-x. 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.