Quality Variation Analysis

Quality Variation Analysis is a methodological framework within the domain of process variation that systematically identifies, quantifies, and evaluates deviations in product or service attributes to determine their impact on conformance to specified quality standards.

97

Publications

3.2K

Citations

352

Authors

150

Institutions

Publications per year

2017–2026

24

Authors

352

  1. WM
    William M. Taylor

    Ames Research Center, United States

    2 publications · 41 citations

    2

    h-index

  2. SJ
    S. Jack Hu

    University of Michigan, United States

    2 publications · 38 citations

    2

    h-index

  3. JL
    Jian Liu

    Liaoning Technical University, China

    2 publications · 107 citations

    2

    h-index

  4. RA
    Rizwan Ahmad

    Imam Abdulrahman Bin Faisal University, Saudi Arabia

    2 publications · 56 citations

    2

    h-index

  5. LH
    Linfang Huang

    Chinese Academy of Medical Sciences & Peking Union Medical College, China

    2 publications · 65 citations

    2

    h-index

1–5 of 352

Venues

  1. Technometrics

    6 publications · 262 citations

    6

    h-index

  2. 3

    h-index

  3. Quality Engineering

    2 publications · 32 citations

    2

    h-index

  4. 2

    h-index

  5. International Journal of Production Research

    2 publications · 37 citations

    2

    h-index

1–5