Probabilistic Project Scheduling

Probabilistic Project Scheduling is a constraint-based scheduling method that incorporates uncertainty in activity durations by modeling them as random variables, thereby enabling the prediction of project completion times under probabilistic constraints.

131

Publications

5.7K

Citations

259

Authors

150

Institutions

Publications per year

2017–2026

26

Authors

259

  1. PG
    Photios G. Ioannou

    University of Michigan, United States

    4 publications · 57 citations

    4

    h-index

  2. HK
    Hua Ke

    Tongji University, China

    4 publications · 203 citations

    4

    h-index

  3. DL
    Dong‐Eun Lee

    Kyungpook National University, South Korea

    4 publications · 198 citations

    4

    h-index

  4. CS
    Chachrist Srisuwanrat

    University of Michigan, United States

    4 publications · 57 citations

    4

    h-index

  5. KC
    Keith C. Crandall

    University of California, Berkeley, United States

    4 publications · 126 citations

    4

    h-index

1–5 of 259

Venues

  1. 16

    h-index

  2. European Journal of Operational Research

    9 publications · 1.4K citations

    9

    h-index

  3. Computers & Industrial Engineering

    8 publications · 298 citations

    8

    h-index

  4. Journal of the Operational Research Society

    OR · 6 publications · 170 citations

    6

    h-index

  5. International Journal of Production Research

    5 publications · 144 citations

    5

    h-index

1–5