Simulation-based Workforce Forecasting

Simulation-Based Workforce Forecasting is a dynamic modeling approach within workforce forecasting that employs computational simulations to project future labor requirements and supply under varying scenarios by systematically incorporating stochastic influences and policy interventions.

7

Publications

133

Citations

26

Authors

9

Institutions

Publications per year

2017–2026

1

Authors

26

  1. YZ
    Yanshen Zhu

    Kennedy Space Center, United States

    2 publications · 25 citations

    2

    h-index

  2. MM
    Mario Marin

    University of Central Florida, United States

    2 publications · 25 citations

    2

    h-index

  3. MS
    Melissa Sargent

    Kennedy Space Center, United States

    2 publications · 25 citations

    2

    h-index

  4. JW
    Julie Warren

    Kennedy Space Center, United States

    2 publications · 25 citations

    2

    h-index

  5. PT
    Phillip T. Meade

    Kennedy Space Center, United States

    2 publications · 25 citations

    2

    h-index

1–5 of 26

Venues

  1. Health Care Management Science

    HCMS · 1 publications · 31 citations

    1

    h-index

  2. 1

    h-index

  3. Winter Simulation Conference

    Conference · 1 publications · 10 citations

    1

    h-index

  4. International Journal of Healthcare

    IJH · 1 publications · 15 citations

    1

    h-index

  5. International Journal of Biometeorology

    1 publications · 30 citations

    1

    h-index

1–5