Multi-objective Assortment Optimization
Multi-Objective Assortment Optimization is an assortment optimization framework that, as a singular decision-making approach, extends the traditional single-objective assortment selection by simultaneously optimizing multiple conflicting objectives—such as revenue, customer satisfaction, and inventory turnover—within a constrained product offering environment.
11
Publications
505
Citations
18
Authors
14
Institutions
Publications per year
2017–2026
1
Parents
11
The trim-loss and assortment problems: A survey
A. I. Hinxman · European Journal of Operational Research · 1980 · 254 citations
The assortment problem: A survey
David W. Pentico · European Journal of Operational Research · 2007 · 59 citations
Business, Economics, Mathematics +10
1–5 of 11
18
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14
Eskişehir Osmangazi University
Eskişehir, Türkiye
2 h-index
5 publications
137 citations

Duquesne University
Pittsburgh, United States
1 h-index
1 publications
59 citations
UCLouvain
Louvain-la-Neuve, Belgium
1 h-index
1 publications
36 citations

University of Tehran
Tehran, Iran
1 h-index
2 publications
44 citations

U.S. Air Force Institute of Technology
Dayton, United States
1 h-index
1 publications
13 citations

Johns Hopkins University
Baltimore, United States
1 h-index
1 publications
12 citations

International Institute for Management Development
Lausanne, Switzerland
1 h-index
1 publications
36 citations

Washington State University Vancouver
Vancouver, United States
1 h-index
1 publications
13 citations
1–8 of 14
4 publications · 368 citations
4
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2 publications · 23 citations
2
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Repository · 1 publications · 12 citations
2
h-index
1 publications · 37 citations
1
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1 publications · 19 citations
1
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1–5