Maximum Capture Models

Maximum Capture Models is a mathematical optimization framework in competitive facility location theory that determines the optimal placement of facilities to maximize market share captured from competitors, assuming customers patronize the most attractive facility based on proximity, service quality, or other attributes.

14

Publications

631

Citations

24

Authors

25

Institutions

Publications per year

2017–2026

2

Variants

Maximal Capture Models

Authors

24

  1. DS
    Daniel Serra

    Universitat Pompeu Fabra, Spain

    5 publications · 180 citations

    5

    h-index

  2. CR
    Charles ReVelle

    Johns Hopkins University, United States

    4 publications · 167 citations

    4

    h-index

  3. SB
    Stefano Benati

    University of Trento, Italy

    2 publications · 169 citations

    2

    h-index

  4. EM
    Eduardo Moreno

    Adolfo Ibáñez University, Chile

    2 publications · 131 citations

    2

    h-index

  5. HA
    H. A. Eiselt

    University of New Brunswick, Canada

    2 publications · 95 citations

    2

    h-index

1–5 of 24

Venues

  1. European Journal of Operational Research

    5 publications · 319 citations

    5

    h-index

  2. Environment and Planning B Planning and Design

    2 publications · 102 citations

    2

    h-index

  3. International Journal of Production Economics

    1 publications · 12 citations

    1

    h-index

  4. 1

    h-index

  5. RECERCAT (Consorci de Serveis Universitaris de Catalunya)

    Repository · 1 publications · 13 citations

    1

    h-index

1–5