Multi-objective Plant Location

Multi-Objective Plant Location is a mathematical optimization model in operations research that determines the optimal placement of facilities by simultaneously minimizing multiple conflicting objectives—such as cost, distance, and environmental impact—subject to given constraints, distinguishing it from single-objective plant location models.

30

Publications

1.4K

Citations

90

Authors

44

Institutions

Publications per year

2017–2026

15

Authors

90

  1. CR
    Charles ReVelle

    Johns Hopkins University, United States

    3 publications · 222 citations

    3

    h-index

  2. SÇ
    Selçuk Çebi

    Istanbul Technical University, Türkiye

    2 publications · 94 citations

    2

    h-index

  3. Eİ
    Esra İ̇lbahar

    Yıldız Technical University, Türkiye

    2 publications · 94 citations

    2

    h-index

  4. RB
    Reza Babazadeh

    Urmia University, Iran

    2 publications · 77 citations

    2

    h-index

  5. MS
    Mir Saman Pishvaee

    Iran University of Science and Technology, Iran

    2 publications · 77 citations

    2

    h-index

1–5 of 90

Venues

  1. Journal of Cleaner Production

    4 publications · 213 citations

    4

    h-index

  2. Energy

    3 publications · 113 citations

    3

    h-index

  3. Renewable Energy

    3 publications · 267 citations

    3

    h-index

  4. European Journal of Operational Research

    2 publications · 152 citations

    2

    h-index

  5. Sustainability

    1 publications · 21 citations

    1

    h-index

1–5