Simulation-based Inventory Optimization

Simulation-Based Inventory Optimization is a computational methodology within inventory optimization that employs simulation models to evaluate and refine inventory policies under uncertainty, distinguishing itself by integrating dynamic, stochastic demand and supply conditions to identify optimal inventory control parameters through iterative experimentation.

138

Publications

4.9K

Citations

339

Authors

182

Institutions

Publications per year

2017–2026

36

Authors

339

  1. JK
    J.P.C. Kleijnen

    Tilburg University, Netherlands

    5 publications · 127 citations

    5

    h-index

  2. ÁA
    Ángel A. Juan

    Universitat Oberta de Catalunya, Spain

    4 publications · 193 citations

    4

    h-index

  3. PK
    Peter Köchel

    Chemnitz University of Technology, Germany

    3 publications · 164 citations

    3

    h-index

  4. SC
    Shing Chih Tsai

    National Cheng Kung University, Taiwan

    3 publications · 103 citations

    3

    h-index

  5. XZ
    Xinhui Zhang

    Wright State University, United States

    3 publications · 61 citations

    3

    h-index

1–5 of 339

Venues

  1. International Journal of Production Economics

    7 publications · 321 citations

    7

    h-index

  2. International Journal of Production Research

    6 publications · 221 citations

    6

    h-index

  3. SIMULATION

    6 publications · 85 citations

    6

    h-index

  4. Computers & Operations Research

    5 publications · 141 citations

    5

    h-index

  5. Winter Simulation Conference

    Conference · 5 publications · 66 citations

    5

    h-index

1–5