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.
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6.8K
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293
Authors
179
Institutions
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2017–2026
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Universidade Estadual Paulista (Unesp), Brazil
5 publications · 127 citations
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UCLouvain
Louvain-la-Neuve, Belgium
9 h-index
16 publications
1.7K citations
Universidade Estadual Paulista (Unesp)
São Paulo, Brazil
8 h-index
12 publications
589 citations
Universidade Federal de São Carlos
São Carlos, Brazil
8 h-index
12 publications
695 citations

Centre National de la Recherche Scientifique
Paris, France
7 h-index
16 publications
747 citations
Universidade de São Paulo
São Paulo, Brazil
6 h-index
10 publications
613 citations
Université de Technologie de Troyes
Troyes, France
6 h-index
17 publications
387 citations

Universidade do Porto
Porto, Portugal
5 h-index
8 publications
256 citations

Universidade Estadual de Campinas (UNICAMP)
Campinas, Brazil
4 h-index
7 publications
213 citations
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20 publications · 1.4K citations
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