Run Length Analysis

Run Length Analysis is a statistical method used in process monitoring that belongs to the class of control chart performance metrics, specifically defined as the number of consecutive samples taken before a control chart signals an out-of-control condition, thereby distinguishing it from other metrics by its focus on the temporal duration of process stability or instability.

909

Publications

38.7K

Citations

1.1K

Authors

554

Institutions

Publications per year

2017–2026

267

Authors

1.1K

  1. MR
    Muhammad Riaz

    King Fahd University of Petroleum and Minerals, Saudi Arabia

    52 publications · 1.9K citations

    27

    h-index

  2. MB
    Michael B. C. Khoo

    Universiti Sains Malaysia, Malaysia

    53 publications · 1.6K citations

    26

    h-index

  3. PC
    Philippe Castagliola

    Nantes Université, France

    43 publications · 1.4K citations

    25

    h-index

  4. WH
    William H. Woodall

    Virginia Tech, United States

    30 publications · 3.6K citations

    24

    h-index

  5. MA
    Muhammad Aslam

    King Abdulaziz University, Saudi Arabia

    45 publications · 1.1K citations

    22

    h-index

1–5 of 1.1K

Venues

  1. Quality and Reliability Engineering International

    154 publications · 4.9K citations

    38

    h-index

  2. Journal of Quality Technology

    57 publications · 4.2K citations

    36

    h-index

  3. Technometrics

    41 publications · 5.9K citations

    33

    h-index

  4. 27

    h-index

  5. Communication in Statistics- Theory and Methods

    49 publications · 1.6K citations

    24

    h-index

1–5