Factor Level Selection

Factor Level Selection is a methodological component in Taguchi Methods that specifies the process of determining the discrete values or settings of control factors to be used in experimental design for optimizing product or process performance.

113

Publications

10.7K

Citations

272

Authors

144

Institutions

Publications per year

2017–2026

31

Authors

272

  1. AA
    Abbas Al‐Refaie

    University of Jordan, Jordan

    4 publications · 108 citations

    4

    h-index

  2. GF
    Gregory F. Piepel

    Battelle, United States

    2 publications · 124 citations

    2

    h-index

  3. ER
    Eric R. Ziegel

    Kyocera (United States), United States

    2 publications · 535 citations

    2

    h-index

  4. TR
    Thomas R. Bement

    Los Alamos National Laboratory, United States

    2 publications · 3.3K citations

    2

    h-index

  5. DK
    Douglas Kunda

    Mulungushi University, Zambia

    2 publications · 63 citations

    2

    h-index

1–5 of 272

Venues

  1. Technometrics

    11 publications · 5.3K citations

    11

    h-index

  2. 7

    h-index

  3. Journal of Quality Technology

    6 publications · 1.3K citations

    6

    h-index

  4. Materials Today Proceedings

    5 publications · 198 citations

    5

    h-index

  5. Biometrics

    3 publications · 114 citations

    3

    h-index

1–5