Control Charting

Control Charting is a statistical process monitoring method that distinguishes itself by using time-ordered data plotted with control limits to detect non-random variation in a process, thereby enabling timely corrective actions to maintain process stability and quality.

2.4K

Publications

116.8K

Citations

2.4K

Authors

1.1K

Institutions

Publications per year

2017–2026

548

Authors

2.4K

  1. WH
    William H. Woodall

    Virginia Tech, United States

    69 publications · 8.6K citations

    43

    h-index

  2. PC
    Philippe Castagliola

    Nantes Université, France

    99 publications · 3.9K citations

    39

    h-index

  3. MR
    Muhammad Riaz

    King Fahd University of Petroleum and Minerals, Saudi Arabia

    124 publications · 4.2K citations

    36

    h-index

  4. MR
    Marion R. Reynolds

    Virginia Tech, United States

    47 publications · 4K citations

    35

    h-index

  5. MB
    Michael B. C. Khoo

    Universiti Sains Malaysia, Malaysia

    90 publications · 3K citations

    31

    h-index

1–5 of 2.4K

Venues

  1. Journal of Quality Technology

    241 publications · 23.7K citations

    85

    h-index

  2. Technometrics

    88 publications · 15.4K citations

    58

    h-index

  3. Quality and Reliability Engineering International

    381 publications · 12.8K citations

    54

    h-index

  4. International Journal of Production Research

    115 publications · 5.9K citations

    46

    h-index

  5. Computers & Industrial Engineering

    92 publications · 3.8K citations

    38

    h-index

1–5