Product Configuration Optimization

Product Configuration Optimization is a systematic methodology within Evolutionary Product Design that identifies the optimal arrangement and selection of product components, parameters, or features by simultaneously balancing performance, cost, manufacturability, and customer requirements through iterative, evolution-based computational search and evaluation.

148

Publications

5.9K

Citations

384

Authors

187

Institutions

Publications per year

2017–2026

33

Authors

384

  1. DX
    Deyi Xue

    University of Calgary, Canada

    8 publications · 329 citations

    8

    h-index

  2. TW
    Timothy W. Simpson

    Pennsylvania State University, United States

    5 publications · 266 citations

    5

    h-index

  3. YT
    Yiliu Tu

    University of Calgary, Canada

    4 publications · 183 citations

    4

    h-index

  4. JJ
    Jianxin Jiao

    Georgia Institute of Technology, United States

    4 publications · 161 citations

    4

    h-index

  5. CK
    C.K. Kwong

    Hong Kong Polytechnic University, Hong Kong SAR China

    4 publications · 106 citations

    4

    h-index

1–5 of 384

Venues

  1. International Journal of Production Research

    14 publications · 627 citations

    14

    h-index

  2. 11

    h-index

  3. Journal of Engineering Design

    7 publications · 170 citations

    7

    h-index

  4. Journal of Intelligent Manufacturing

    6 publications · 190 citations

    6

    h-index

  5. Computers in Industry

    5 publications · 294 citations

    5

    h-index

1–5