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<p>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.</p>

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

  • 期刊论文

  • 发表日期：

    2025年2月28日

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  • Hari Lal Bhaskar,
  • Mohammad Osama,
  • Reeta

摘要

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.