Operational Process Optimization

Operational Process Optimization is a methodological framework within process digitization that systematically enhances the efficiency, accuracy, and scalability of business operations by reengineering workflows, integrating digital technologies, and leveraging data-driven decision-making to achieve superior performance outcomes.

45

Publications

1.6K

Citations

172

Authors

58

Institutions

Publications per year

2017–2026

23

Authors

172

  1. MB
    Michael Bâldea

    The University of Texas at Austin, United States

    3 publications · 136 citations

    3

    h-index

  2. RS
    Robin Smith

    University of Manchester, United Kingdom

    2 publications · 116 citations

    2

    h-index

  3. TF
    Thomas F. Edgar

    The University of Texas at Austin, United States

    2 publications · 43 citations

    2

    h-index

  4. CW
    Cheng Wu

    Tsinghua University, China

    2 publications · 31 citations

    2

    h-index

  5. ML
    Moonyong Lee

    Yeungnam University, South Korea

    2 publications · 53 citations

    2

    h-index

1–5 of 172

Venues

  1. Computers & Chemical Engineering

    4 publications · 229 citations

    4

    h-index

  2. Industrial & Engineering Chemistry Research

    3 publications · 66 citations

    3

    h-index

  3. Expert Systems with Applications

    3 publications · 108 citations

    3

    h-index

  4. Desalination

    2 publications · 77 citations

    2

    h-index

  5. Journal of Cleaner Production

    2 publications · 79 citations

    2

    h-index

1–5