Process Variability Monitoring

Process Variability Monitoring is a statistical method within the field of Statistical Process Control that systematically tracks and analyzes the inherent variability of a process over time to detect deviations from established stability standards.

172

Publications

6.3K

Citations

351

Authors

200

Institutions

Publications per year

2017–2026

45

Authors

351

  1. MR
    Muhammad Riaz

    King Fahd University of Petroleum and Minerals, Saudi Arabia

    15 publications · 503 citations

    14

    h-index

  2. PC
    Philippe Castagliola

    Nantes Université, France

    9 publications · 390 citations

    9

    h-index

  3. AB
    Arthur B. Yeh

    Bowling Green State University, United States

    8 publications · 453 citations

    8

    h-index

  4. AA
    Amirhossein Amiri

    Shahed University, Iran

    6 publications · 121 citations

    6

    h-index

  5. AH
    Abdul Haq

    Quaid-i-Azam University, Pakistan

    6 publications · 122 citations

    6

    h-index

1–5 of 351

Venues

  1. 17

    h-index

  2. Journal of Quality Technology

    13 publications · 1.1K citations

    13

    h-index

  3. 7

    h-index

  4. Journal of Applied Statistics

    7 publications · 290 citations

    7

    h-index

  5. IIE Transactions

    6 publications · 305 citations

    6

    h-index

1–5