Configuration Space Modeling

Configuration Space Modeling is a formal method in product configuration that represents the set of valid configurations and their interrelationships as a structured space, distinguished by its use of logical, mathematical, or computational constraints to define feasible product variants within a given domain.

104

Publications

5.2K

Citations

255

Authors

144

Institutions

Publications per year

2017–2026

18

Authors

255

  1. DB
    Don Batory

    The University of Texas at Austin, United States

    3 publications · 265 citations

    3

    h-index

  2. DW
    David W. Rosen

    Georgia Institute of Technology, United States

    3 publications · 123 citations

    3

    h-index

  3. JO
    Jeho Oh

    The University of Texas at Austin, United States

    3 publications · 265 citations

    3

    h-index

  4. YT
    Yoshimi TAKEUCHI

    University of Electro-Communications, Japan

    2 publications · 99 citations

    2

    h-index

  5. JJ
    Jean‐Marc Jezéquél

    Institut de Recherche en Informatique et Systèmes Aléatoires, France

    2 publications · 125 citations

    2

    h-index

1–5 of 255

Venues

  1. The Journal of Chemical Physics

    7 publications · 701 citations

    7

    h-index

  2. 3

    h-index

  3. The International Journal of Robotics Research

    IJRR · 3 publications · 218 citations

    3

    h-index

  4. Journal of Intelligent Manufacturing

    3 publications · 79 citations

    3

    h-index

  5. Chemical Physics Letters

    3 publications · 86 citations

    3

    h-index

1–5