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
Parents
95
1–5 of 95
223
King Fahd University of Petroleum and Minerals, Saudi Arabia
7 publications · 215 citations
7
h-index
3
h-index
3
h-index
3
h-index
3
h-index
1–5 of 223
131

King Fahd University of Petroleum and Minerals
Dhahran, Saudi Arabia
7 h-index
15 publications
397 citations

University of Amsterdam
Amsterdam, The Netherlands
4 h-index
5 publications
243 citations
Rutgers, The State University of New Jersey
New Brunswick, United States
4 h-index
5 publications
127 citations
K.N.Toosi University of Technology
Tehran, Iran
3 h-index
9 publications
174 citations
University of Sargodha
Sargodha, Pakistan
3 h-index
4 publications
111 citations

City University of Hong Kong
Hong Kong, Hong Kong
3 h-index
4 publications
195 citations

Nankai University
Tianjin, China
3 h-index
3 publications
114 citations

University of Pretoria
Pretoria, South Africa
3 h-index
4 publications
154 citations
1–8 of 131
13 publications · 272 citations
11
h-index
7 publications · 688 citations
7
h-index
5 publications · 377 citations
5
h-index
JSCS · 4 publications · 128 citations
4
h-index
3 publications · 91 citations
3
h-index
1–5