Parameter Design

Parameter Design is a methodological framework within Taguchi Methods that systematically identifies and optimizes the optimal settings of controllable process or product parameters to minimize performance variability caused by uncontrollable factors while improving quality and robustness.

1.9K

Publications

94.3K

Citations

5.4K

Authors

1.4K

Institutions

Publications per year

2017–2026

732

Authors

5.4K

  1. FB
    Frede Blaabjerg

    Aalborg University, Denmark

    16 publications · 1.5K citations

    16

    h-index

  2. CL
    Chi‐Seng Lam

    University of Macau, Macao SAR China

    13 publications · 753 citations

    13

    h-index

  3. MW
    Man‐Chung Wong

    University of Macau, Macao SAR China

    11 publications · 685 citations

    11

    h-index

  4. PK
    Pradeep Kumar

    Indian Institute of Technology Roorkee, India

    9 publications · 782 citations

    9

    h-index

  5. DX
    Dianguo Xu

    Harbin Institute of Technology, China

    9 publications · 363 citations

    9

    h-index

1–5 of 5.4K

Venues

  1. IEEE Transactions on Power Electronics

    99 publications · 7.4K citations

    50

    h-index

  2. IEEE Transactions on Industrial Electronics

    61 publications · 4.7K citations

    36

    h-index

  3. 36

    h-index

  4. Materials Today Proceedings

    67 publications · 1.8K citations

    27

    h-index

  5. Journal of Quality Technology

    33 publications · 3.4K citations

    24

    h-index

1–5