Variation Reduction

Variation Reduction is a methodological approach within quality management science that systematically identifies, analyzes, and eliminates sources of process inconsistency to enhance predictability and conformance in operational performance.

452

Publications

43.2K

Citations

1.1K

Authors

547

Institutions

Publications per year

2017–2026

65

Authors

1.1K

  1. JA
    Jiju Antony

    Heriot-Watt University, United Kingdom

    11 publications · 1K citations

    10

    h-index

  2. SZ
    Shiyu Zhou

    University of Wisconsin–Madison, United States

    9 publications · 690 citations

    9

    h-index

  3. PC
    Philippe Castagliola

    Nantes Université, France

    7 publications · 445 citations

    7

    h-index

  4. JS
    Jianjun Shi

    Georgia Institute of Technology, United States

    6 publications · 542 citations

    6

    h-index

  5. AW
    Andrzej Wąsowski

    IT University of Copenhagen, Denmark

    5 publications · 518 citations

    5

    h-index

1–5 of 1.1K

Venues

  1. Technometrics

    18 publications · 1.9K citations

    16

    h-index

  2. Quality and Reliability Engineering International

    19 publications · 1.2K citations

    15

    h-index

  3. Journal of Quality Technology

    14 publications · 1.7K citations

    13

    h-index

  4. Quality Engineering

    15 publications · 459 citations

    13

    h-index

  5. International Journal of Production Research

    13 publications · 263 citations

    12

    h-index

1–5