Simulation-based Capacity Sizing

Simulation-Based Capacity Sizing is a methodological approach within capacity sizing that employs dynamic simulation models to determine optimal system capacity by evaluating performance under varying demand scenarios, distinguishing itself from deterministic or analytical methods through its reliance on stochastic, scenario-based modeling to capture complex system behaviors and uncertainties.

15

Publications

580

Citations

41

Authors

25

Institutions

Publications per year

2017–2026

2

Authors

41

  1. HE
    Hector E. Jahnsen

    University of Bío-Bío, Chile

    2 publications · 123 citations

    2

    h-index

  2. MD
    Mahal DaCosta

    University of Bío-Bío, Chile

    2 publications · 123 citations

    2

    h-index

  3. FB
    Felipe Baesler

    University of Bío-Bío, Chile

    2 publications · 123 citations

    2

    h-index

  4. JV
    Jean-Marc Vincent

    Université Grenoble Alpes, France

    1 publications · 10 citations

    1

    h-index

  5. BK
    Beomjun Kim

    Seoul National University, South Korea

    1 publications · 14 citations

    1

    h-index

1–5 of 41

Venues

  1. Computers & Industrial Engineering

    2 publications · 154 citations

    2

    h-index

  2. Resources Policy

    1 publications · 24 citations

    1

    h-index

  3. 1

    h-index

  4. Journal of Mechanical Design

    1 publications · 37 citations

    1

    h-index

  5. Winter Simulation Conference

    Conference · 1 publications · 36 citations

    1

    h-index

1–5