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

Authors

42

  1. JA
    Jiju Antony

    Heriot-Watt University, United Kingdom

    2 publications · 70 citations

    2

    h-index

  2. CS
    Corey S Seliger

    Purdue University West Lafayette, United States

    1 publications · 50 citations

    1

    h-index

  3. KZ
    Karim Zkik

    International University of Rabat, Morocco

    1 publications · 82 citations

    1

    h-index

  4. HN
    Hoorieh Najafi

    Islamic Azad University, Science and Research Branch, Iran

    1 publications · 19 citations

    1

    h-index

  5. AB
    Amine Belhadi

    Ecole des Hautes Etudes Commerciales du Nord, France

    1 publications · 82 citations

    1

    h-index

1–5 of 42

Venues

  1. Quality Engineering

    3 publications · 286 citations

    3

    h-index

  2. The TQM Journal

    2 publications · 91 citations

    2

    h-index

  3. 1

    h-index

  4. International Journal of Production Economics

    1 publications · 19 citations

    1

    h-index

  5. Computers in Industry

    1 publications · 30 citations

    1

    h-index

1–5