Stochastic Batch Scheduling

Stochastic Batch Scheduling is a batch scheduling framework in which job processing times, arrival times, or other parameters are modeled as random variables, distinguishing it from deterministic batch scheduling by explicitly incorporating uncertainty into the scheduling decision process.

7

Publications

485

Citations

18

Authors

12

Institutions

Publications per year

2017–2026

0

Authors

18

  1. EN
    Efstratios N. Pistikopoulos

    Imperial College London, United Kingdom

    2 publications · 56 citations

    2

    h-index

  2. MI
    Marianthi Ierapetritou

    Rutgers, The State University of New Jersey, United States

    1 publications · 20 citations

    1

    h-index

  3. CN
    C.T. Ng

    Hong Kong Polytechnic University, Hong Kong SAR China

    1 publications · 37 citations

    1

    h-index

  4. KP
    Katerina Papadaki

    London School of Economics and Political Science, United Kingdom

    1 publications · 56 citations

    1

    h-index

  5. MJ
    Miguel J. Bagajewicz

    University of Oklahoma, United States

    1 publications · 32 citations

    1

    h-index

1–5 of 18

Venues

  1. European Journal of Operational Research

    2 publications · 93 citations

    2

    h-index

  2. Computers & Chemical Engineering

    2 publications · 56 citations

    2

    h-index

  3. 1

    h-index

  4. 1

    h-index

  5. Industrial & Engineering Chemistry Research

    1 publications · 32 citations

    1

    h-index

1–5