Process Drift Monitoring

Process Drift Monitoring is a method within the field of process robustness that systematically detects and analyzes deviations in process behavior over time by continuously observing process performance metrics to identify statistically significant changes indicative of underlying shifts in process execution or environmental conditions.

36

Publications

1.5K

Citations

93

Authors

45

Institutions

Publications per year

2017–2026

11

Authors

93

  1. MR
    Marion R. Reynolds

    Virginia Tech, United States

    3 publications · 171 citations

    3

    h-index

  2. KB
    Kevin Burke

    University of Limerick, Ireland

    2 publications · 23 citations

    2

    h-index

  3. KK
    Kashaf Khan

    University of Limerick, Ireland

    2 publications · 23 citations

    2

    h-index

  4. CA
    Cesare Alippi

    Politecnico di Milano, Italy

    2 publications · 49 citations

    2

    h-index

  5. MD
    Mark Donnelly

    University of Ulster, United Kingdom

    2 publications · 23 citations

    2

    h-index

1–5 of 93

Venues

  1. 3

    h-index

  2. Journal of Quality Technology

    1 publications · 118 citations

    1

    h-index

  3. Journal of Applied Statistics

    1 publications · 15 citations

    1

    h-index

  4. International Journal of Production Research

    1 publications · 64 citations

    1

    h-index

  5. Scientia Iranica

    1 publications · 16 citations

    1

    h-index

1–5