Robust Lot Sizing

Robust Lot Sizing is a lot-sizing methodology that belongs to the class of deterministic and stochastic optimization models but is specifically characterized by its ability to handle demand uncertainty and system variability through adjustable robustness parameters, ensuring feasible and near-optimal production plans under a range of plausible future scenarios.

23

Publications

1.2K

Citations

58

Authors

45

Institutions

Publications per year

2017–2026

10

Parents

Authors

58

  1. AA
    Agostinho Agra

    University of Aveiro, Portugal

    3 publications · 75 citations

    3

    h-index

  2. EC
    Eduardo Curcio

    Universidade do Porto, Portugal

    2 publications · 79 citations

    2

    h-index

  3. MP
    Michaël Poss

    Centre National de la Recherche Scientifique, France

    2 publications · 55 citations

    2

    h-index

  4. PA
    Pedro Amorim

    Universidade do Porto, Portugal

    2 publications · 79 citations

    2

    h-index

  5. MC
    Marcio Costa Santos

    Universidade Federal do Ceará, Brazil

    1 publications · 34 citations

    1

    h-index

1–5 of 58

Venues

  1. Computers & Operations Research

    4 publications · 472 citations

    4

    h-index

  2. International Journal of Production Economics

    3 publications · 113 citations

    3

    h-index

  3. European Journal of Operational Research

    3 publications · 81 citations

    3

    h-index

  4. International Journal of Production Research

    2 publications · 24 citations

    2

    h-index

  5. Operations Research Letters

    1 publications · 30 citations

    1

    h-index

1–5