Mixed-integer Programming For Layout

Mixed-Integer Programming for Layout is a mathematical optimization framework that belongs to the class of mixed-integer programming models and is specifically characterized by its integration of discrete and continuous decision variables to represent and optimize the arrangement, assignment, and spatial relationships of facilities, components, or units in a layout design problem.

65

Publications

3.8K

Citations

132

Authors

72

Institutions

Publications per year

2017–2026

13

Authors

132

  1. HW
    Hiroyuki Watanabe

    Kyushu University Hospital, Japan

    4 publications · 118 citations

    4

    h-index

  2. SK
    Sadan Kulturel-Konak

    Pennsylvania State University, United States

    3 publications · 237 citations

    3

    h-index

  3. RD
    Russell D. Meller

    University of Arkansas at Fayetteville, United States

    3 publications · 348 citations

    3

    h-index

  4. AR
    André R. S. Amaral

    Universidade Federal do Espírito Santo, Brazil

    3 publications · 115 citations

    3

    h-index

  5. AK
    Abdullah Konak

    Pennsylvania State University, United States

    3 publications · 237 citations

    3

    h-index

1–5 of 132

Venues

  1. International Journal of Production Research

    13 publications · 591 citations

    13

    h-index

  2. Computers & Industrial Engineering

    6 publications · 291 citations

    6

    h-index

  3. 3

    h-index

  4. European Journal of Operational Research

    3 publications · 164 citations

    3

    h-index

  5. Industrial & Engineering Chemistry Research

    3 publications · 177 citations

    3

    h-index

1–5