Robust Statistical Process Control

Robust Statistical Process Control is a statistical process control methodology that incorporates resilience to deviations from underlying distributional assumptions and outliers, thereby maintaining reliable performance in the presence of process variability and non-ideal data conditions.

95

Publications

4K

Citations

223

Authors

131

Institutions

Publications per year

2017–2026

24

Authors

223

  1. MR
    Muhammad Riaz

    King Fahd University of Petroleum and Minerals, Saudi Arabia

    7 publications · 215 citations

    7

    h-index

  2. HS
    Hamid Shahriari

    K.N.Toosi University of Technology, Iran

    3 publications · 58 citations

    3

    h-index

  3. HZ
    Hafiz Zafar Nazir

    University of Sargodha, Pakistan

    3 publications · 76 citations

    3

    h-index

  4. RN
    Rassoul Noorossana

    Iran University of Science and Technology, Iran

    3 publications · 76 citations

    3

    h-index

  5. RJ
    Ronald J. M. M. Does

    University of Amsterdam, Netherlands

    3 publications · 160 citations

    3

    h-index

1–5 of 223

Venues

  1. 11

    h-index

  2. Journal of Quality Technology

    7 publications · 688 citations

    7

    h-index

  3. Technometrics

    5 publications · 377 citations

    5

    h-index

  4. Journal of Statistical Computation and Simulation

    JSCS · 4 publications · 128 citations

    4

    h-index

  5. Computers & Chemical Engineering

    3 publications · 91 citations

    3

    h-index

1–5