Multi-echelon Stock Optimization
Multi-Echelon Stock Optimization is a mathematical optimization framework that determines optimal inventory levels across multiple, interconnected stages of a supply chain network by simultaneously coordinating stocking decisions to minimize total system-wide costs while satisfying service level requirements.
9
Publications
642
Citations
16
Authors
14
Institutions
Publications per year
2017–2026
0
Variants
Multi-echelon Inventory Optimization
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14
Stanford University
Stanford, United States
2 h-index
3 publications
251 citations
Boston University
Boston, United States
2 h-index
2 publications
110 citations
Vienna University of Economics and Business
Vienna, Austria
1 h-index
1 publications
24 citations

Cornell University
Ithaca, United States
1 h-index
1 publications
38 citations
University of Mannheim
Mannheim, Germany
1 h-index
1 publications
24 citations
Technische Hochschule Mannheim
Mannheim, Germany
1 h-index
1 publications
24 citations

University of Waterloo
Waterloo, Canada
1 h-index
1 publications
13 citations
Lahore University of Management Sciences
Lahore, Pakistan
1 h-index
1 publications
43 citations
1–8 of 14
3 publications · 172 citations
3
h-index
2 publications · 157 citations
2
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1 publications · 239 citations
1
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1 publications · 13 citations
1
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1 publications · 37 citations
1
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