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
Parents
84
1–5 of 84
208
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131

Northeastern University
Shenyang, China
7 h-index
13 publications
527 citations
University of Washington
Seattle, United States
5 h-index
12 publications
1.5K citations
The University of Texas at San Antonio
San Antonio, United States
5 h-index
5 publications
208 citations
University of Chicago
Chicago, United States
4 h-index
4 publications
74 citations

Cornell University
Ithaca, United States
4 h-index
6 publications
118 citations

Hong Kong Polytechnic University
Hong Kong, Hong Kong
3 h-index
5 publications
453 citations

University of Tehran
Tehran, Iran
3 h-index
10 publications
492 citations

Université Laval
Québec, Canada
2 h-index
2 publications
79 citations
1–8 of 131
6 publications · 222 citations
6
h-index
6 publications · 296 citations
6
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5 publications · 174 citations
5
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5 publications · 213 citations
5
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4 publications · 221 citations
4
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1–5