Six Sigma Analytics
Six Sigma Analytics is a methodological framework within production data analysis that integrates statistical process control and defect minimization techniques to systematically identify, measure, analyze, improve, and control operational performance metrics in manufacturing and business processes.
17
Publications
802
Citations
42
Authors
24
Institutions
Publications per year
2017–2026
8
Parents
17
1–5 of 17
42
2
h-index
1
h-index
1
h-index
Islamic Azad University, Science and Research Branch, Iran
1 publications · 19 citations
1
h-index
1
h-index
1–5 of 42
24

Iran University of Science and Technology
Tehran, Iran
1 h-index
1 publications
19 citations
University College Dublin
Dublin, Ireland
1 h-index
2 publications
60 citations

Heriot-Watt University
Edinburgh, United Kingdom
1 h-index
1 publications
57 citations

Ain Shams University
Cairo, Egypt
1 h-index
3 publications
54 citations
Seoul National University
Seoul, South Korea
1 h-index
1 publications
57 citations
Islamic Azad University, Science and Research Branch
Tehran, Iran
1 h-index
2 publications
38 citations

Cadi Ayyad University
Marrakesh, Morocco
1 h-index
2 publications
164 citations
International University of Rabat
Salé, Morocco
1 h-index
1 publications
82 citations
1–8 of 24
3 publications · 286 citations
3
h-index
2 publications · 91 citations
2
h-index
1 publications · 23 citations
1
h-index
1 publications · 19 citations
1
h-index
1 publications · 30 citations
1
h-index
1–5