Robust Dynamic Facility Location

Robust Dynamic Facility Location is a dynamic facility location model that incorporates uncertainty in demand, costs, or network parameters and seeks facility placement and allocation decisions that remain feasible and near-optimal across a range of possible future scenarios.

2

Publications

449

Citations

5

Authors

2

Institutions

Publications per year

2017–2026

2

Authors

5

  1. JL
    Jessica L. Heier Stamm

    Kansas State University, United States

    1 publications · 24 citations

    1

    h-index

  2. LM
    Luke Muggy

    Kansas State University, United States

    1 publications · 24 citations

    1

    h-index

  3. MA
    Mikiharu Arimura

    Muroran Institute of Technology, Japan

    1 publications · 425 citations

    1

    h-index

  4. CB
    Chawis Boonmee

    Chiang Mai University, Thailand

    1 publications · 425 citations

    1

    h-index

  5. TA
    Takumi ASADA

    Muroran Institute of Technology, Japan

    1 publications · 425 citations

    1

    h-index

1–5 of 5

Institutions

2

  1. Kansas State University

    Manhattan, United States

    1 h-index

    2 publications

    48 citations

  2. Muroran Institute of Technology

    Muroran, Japan

    1 h-index

    3 publications

    1.3K citations

  3. TU Wien

    Vienna, Austria

    1 publications

    10 citations

  4. University of Belgrade

    Belgrade, Serbia

    1 publications

    10 citations

1–4 of 2

Venues

  1. Operations Research for Health Care

    1 publications · 24 citations

    1

    h-index

  2. 1

    h-index

  3. Electronic Notes in Discrete Mathematics

    1 publications · 10 citations

1–3