Mixed-integer Lot Sizing Models

Mixed-Integer Lot Sizing Models is a mathematical optimization framework that belongs to the class of lot sizing models and is distinguished by the inclusion of both continuous variables for production quantities and integer (often binary) variables to represent setup decisions, capacity restrictions, or batch sizing in production planning.

142

Publications

6.8K

Citations

293

Authors

179

Institutions

Publications per year

2017–2026

32

Parents

Authors

293

  1. LA
    Laurence A. Wolsey

    UCLouvain, Belgium

    14 publications · 1.1K citations

    12

    h-index

  2. RM
    Reinaldo Morábito

    Universidade Federal de São Carlos, Brazil

    7 publications · 391 citations

    8

    h-index

  3. SA
    Silvio Alexandre de Araújo

    Universidade Estadual Paulista (Unesp), Brazil

    5 publications · 127 citations

    5

    h-index

  4. MM
    Michel Minoux

    Sorbonne Université, France

    4 publications · 65 citations

    4

    h-index

  5. AC
    Alistair Clark

    University of the West of England, United Kingdom

    4 publications · 195 citations

    4

    h-index

1–5 of 293

Venues

  1. European Journal of Operational Research

    20 publications · 1.4K citations

    19

    h-index

  2. International Journal of Production Research

    14 publications · 526 citations

    13

    h-index

  3. Computers & Industrial Engineering

    12 publications · 316 citations

    11

    h-index

  4. Computers & Operations Research

    11 publications · 308 citations

    10

    h-index

  5. International Journal of Production Economics

    7 publications · 328 citations

    7

    h-index

1–5