Short-run Statistical Process Control

Short-Run Statistical Process Control is a specialized method within statistical process control designed for monitoring and controlling manufacturing processes with limited production runs, where traditional control charts are ineffective due to insufficient data for establishing stable parameter estimates.

52

Publications

2K

Citations

84

Authors

61

Institutions

Publications per year

2017–2026

7

Authors

84

  1. PC
    Philippe Castagliola

    Nantes Université, France

    11 publications · 546 citations

    11

    h-index

  2. GC
    Giovanni Celano

    University of Catania, Italy

    9 publications · 478 citations

    9

    h-index

  3. MB
    Michael B. C. Khoo

    Universiti Sains Malaysia, Malaysia

    4 publications · 75 citations

    4

    h-index

  4. AA
    Asma Amdouni

    Centre National de la Recherche Scientifique, France

    4 publications · 240 citations

    4

    h-index

  5. GN
    George Nenes

    University of Western Macedonia, Greece

    4 publications · 158 citations

    4

    h-index

1–5 of 84

Venues

  1. 9

    h-index

  2. Journal of Quality Technology

    6 publications · 486 citations

    6

    h-index

  3. International Journal of Production Research

    5 publications · 136 citations

    5

    h-index

  4. Quality Technology & Quantitative Management

    4 publications · 129 citations

    4

    h-index

  5. Quality Engineering

    3 publications · 43 citations

    3

    h-index

1–5