Robust Inventory Models

Robust Inventory Models is a class of inventory optimization frameworks that belong to inventory theory and are distinguished by their explicit consideration of uncertainty through worst-case scenario analysis, ensuring feasible and near-optimal performance across a bounded set of demand or supply realizations.

84

Publications

3.9K

Citations

208

Authors

131

Institutions

Publications per year

2017–2026

47

Authors

208

  1. RQ
    Ruozhen Qiu

    Northeastern University, China

    7 publications · 288 citations

    7

    h-index

  2. LX
    Linwei Xin

    University of Chicago, United States

    5 publications · 79 citations

    5

    h-index

  3. DA
    David A. Goldberg

    Georgia Institute of Technology, United States

    5 publications · 82 citations

    5

    h-index

  4. MS
    Minghe Sun

    The University of Texas at San Antonio, United States

    5 publications · 208 citations

    5

    h-index

  5. YS
    Yue Sun

    Northeastern University, China

    4 publications · 158 citations

    4

    h-index

1–5 of 208

Venues

  1. International Journal of Production Economics

    6 publications · 222 citations

    6

    h-index

  2. Management Science

    6 publications · 296 citations

    6

    h-index

  3. Computers & Operations Research

    5 publications · 174 citations

    5

    h-index

  4. Annals of Operations Research

    5 publications · 213 citations

    5

    h-index

  5. European Journal of Operational Research

    4 publications · 221 citations

    4

    h-index

1–5