Non-normal Capability Analysis

Non-Normal Capability Analysis is a statistical methodology within process capability analysis that assesses the performance and capability of manufacturing or business processes by modeling non-normally distributed data, thereby differentiating itself from conventional capability analyses reliant on normal distribution assumptions.

34

Publications

1.5K

Citations

65

Authors

37

Institutions

Publications per year

2017–2026

3

Authors

65

  1. WL
    W. L. Pearn

    National Yang Ming Chiao Tung University, Taiwan

    6 publications · 350 citations

    6

    h-index

  2. BA
    Babak Abbasi

    RMIT University, Australia

    3 publications · 122 citations

    3

    h-index

  3. PZ
    Panlop Zeephongsekul

    RMIT University, Australia

    2 publications · 38 citations

    2

    h-index

  4. MA
    Mali Abdollahian

    RMIT University, Australia

    2 publications · 38 citations

    2

    h-index

  5. KC
    Kuen‐Suan Chen

    National Chin-Yi University of Technology, Taiwan

    2 publications · 140 citations

    2

    h-index

1–5 of 65

Venues

  1. Quality Engineering

    9 publications · 337 citations

    9

    h-index

  2. 4

    h-index

  3. 2

    h-index

  4. International Journal of Production Research

    2 publications · 60 citations

    2

    h-index

  5. Expert Systems with Applications

    2 publications · 106 citations

    2

    h-index

1–5