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

Authors

18

  1. TS
    Tuğba Saraç

    Eskişehir Osmangazi University, Türkiye

    2 publications · 52 citations

    2

    h-index

  2. RW
    Ruxian Wang

    Johns Hopkins University, United States

    2 publications · 49 citations

    2

    h-index

  3. VJ
    Vaidyanathan Jayaraman

    National Chemical Laboratory, India

    1 publications · 13 citations

    1

    h-index

  4. JT
    Jean‐Sébastien Tancrez

    UCLouvain, Belgium

    1 publications · 36 citations

    1

    h-index

  5. SA
    S. Ali Torabi

    University of Tehran, Iran

    1 publications · 22 citations

    1

    h-index

1–5 of 18

Venues

  1. European Journal of Operational Research

    4 publications · 368 citations

    4

    h-index

  2. Computers & Operations Research

    2 publications · 23 citations

    2

    h-index

  3. SSRN Electronic Journal

    Repository · 1 publications · 12 citations

    2

    h-index

  4. Journal of Revenue and Pricing Management

    1 publications · 37 citations

    1

    h-index

  5. 1

    h-index

1–5