Manufacturing Variability Analysis

Manufacturing Variability Analysis is a methodological framework within retrospective validation that systematically identifies, quantifies, and evaluates sources of variation in historical manufacturing processes to distinguish inherent process fluctuations from anomalous deviations.

95

Publications

4K

Citations

267

Authors

120

Institutions

Publications per year

2017–2026

24

Authors

267

  1. DW
    Daniel W. Apley

    Northwestern University, United States

    5 publications · 109 citations

    5

    h-index

  2. EJ
    Erik Johann

    Rolls-Royce (Germany), Germany

    4 publications · 150 citations

    4

    h-index

  3. JS
    Jianjun Shi

    Georgia Institute of Technology, United States

    4 publications · 192 citations

    4

    h-index

  4. MV
    Matthias Voigt

    Technische Universität Dresden, Germany

    4 publications · 150 citations

    4

    h-index

  5. KV
    Konrad Vogeler

    Technische Universität Dresden, Germany

    4 publications · 150 citations

    4

    h-index

1–5 of 267

Venues

  1. Journal of Quality Technology

    5 publications · 343 citations

    5

    h-index

  2. IIE Transactions

    4 publications · 114 citations

    4

    h-index

  3. Journal of Intelligent Manufacturing

    3 publications · 76 citations

    3

    h-index

  4. 3

    h-index

  5. Technometrics

    3 publications · 86 citations

    3

    h-index

1–5