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
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University of Aveiro
Aveiro, Portugal
3 h-index
4 publications
96 citations
Arizona State University
Tempe, United States
2 h-index
2 publications
63 citations

Universidade do Porto
Porto, Portugal
2 h-index
4 publications
211 citations

Centre National de la Recherche Scientifique
Paris, France
2 h-index
3 publications
63 citations
INESC TEC
Porto, Portugal
2 h-index
6 publications
237 citations

Université Toulouse III - Paul Sabatier
Toulouse, France
1 h-index
1 publications
13 citations
IMT Atlantique
Nantes, France
1 h-index
3 publications
72 citations
University of California, Berkeley
Berkeley, United States
1 h-index
1 publications
50 citations
1–8 of 45
4 publications · 472 citations
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3 publications · 113 citations
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3 publications · 81 citations
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2 publications · 24 citations
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1 publications · 30 citations
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