Scheduling Under Uncertainty

Scheduling Under Uncertainty is a scheduling framework within operations research and systems engineering that integrates probabilistic or scenario-based models to accommodate unpredictable variations in task durations, resource availability, or environmental conditions, thereby distinguishing it from deterministic scheduling approaches by explicitly addressing indeterminacy in the planning process.

688

Publications

36.3K

Citations

1.8K

Authors

726

Institutions

Publications per year

2017–2026

246

Authors

1.8K

  1. MI
    Marianthi Ierapetritou

    Rutgers, The State University of New Jersey, United States

    10 publications · 999 citations

    10

    h-index

  2. GH
    Guohe Huang

    University of Regina, Canada

    9 publications · 216 citations

    9

    h-index

  3. ED
    Erik Demeulemeester

    KU Leuven, Belgium

    9 publications · 603 citations

    9

    h-index

  4. RL
    Roel Leus

    KU Leuven, Belgium

    6 publications · 1.3K citations

    6

    h-index

  5. WH
    Willy Herroelen

    KU Leuven, Belgium

    6 publications · 1.5K citations

    6

    h-index

1–5 of 1.8K

Venues

  1. International Journal of Production Research

    34 publications · 1.3K citations

    25

    h-index

  2. Computers & Chemical Engineering

    23 publications · 1.9K citations

    20

    h-index

  3. European Journal of Operational Research

    24 publications · 2K citations

    19

    h-index

  4. Computers & Industrial Engineering

    18 publications · 585 citations

    16

    h-index

  5. Industrial & Engineering Chemistry Research

    18 publications · 918 citations

    15

    h-index

1–5