Performance Variation Minimization

Performance Variation Minimization is a robust design optimization methodology that systematically reduces the sensitivity of system performance to uncertainties and variations by minimizing deviations from target performance metrics while maintaining adherence to design specifications.

115

Publications

5.9K

Citations

355

Authors

150

Institutions

Publications per year

2017–2026

24

Authors

355

  1. WC
    Wei Chen

    Microsoft Research Asia (China), China

    3 publications · 623 citations

    3

    h-index

  2. MM
    Margaret M. Wiecek

    Clemson University, United States

    3 publications · 379 citations

    3

    h-index

  3. JK
    Janet K. Allen

    Georgia Institute of Technology, United States

    2 publications · 599 citations

    2

    h-index

  4. JH
    Jaehyuk Huh

    Korea Advanced Institute of Science and Technology, South Korea

    2 publications · 29 citations

    2

    h-index

  5. FM
    Farrokh Mistree

    Georgia Institute of Technology, United States

    2 publications · 599 citations

    2

    h-index

1–5 of 355

Venues

  1. Journal of Mechanical Design

    10 publications · 1.2K citations

    10

    h-index

  2. IEEE Transactions on Computers

    3 publications · 44 citations

    3

    h-index

  3. Applied Thermal Engineering

    2 publications · 46 citations

    2

    h-index

  4. Journal of Engineering Design

    2 publications · 100 citations

    2

    h-index

  5. Applied Energy

    2 publications · 111 citations

    2

    h-index

1–5