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

Authors

16

  1. SH
    Salal Humair

    Lahore University of Management Sciences, Pakistan

    2 publications · 110 citations

    2

    h-index

  2. SP
    Sean P. Willems

    Boston University, United States

    2 publications · 110 citations

    2

    h-index

  3. ST
    Steffen T. Klosterhalfen

    BASF (Germany), Germany

    1 publications · 24 citations

    1

    h-index

  4. US
    Uday S. Karmarkar

    University of Rochester, United States

    1 publications · 239 citations

    1

    h-index

  5. PA
    Panayotis Afentakis

    Syracuse University, United States

    1 publications · 239 citations

    1

    h-index

1–5 of 16

Venues

  1. Operations Research

    3 publications · 172 citations

    3

    h-index

  2. Naval Research Logistics Quarterly

    2 publications · 157 citations

    2

    h-index

  3. Management Science

    1 publications · 239 citations

    1

    h-index

  4. IIE Transactions

    1 publications · 13 citations

    1

    h-index

  5. International Journal of Production Research

    1 publications · 37 citations

    1

    h-index

1–5