Stochastic Resource Allocation

Stochastic Resource Allocation is a resource allocation framework that incorporates probabilistic models to account for uncertainty in resource availability, demand, or performance outcomes, distinguishing it from deterministic approaches by explicitly modeling randomness in decision-making processes.

194

Publications

9K

Citations

494

Authors

280

Institutions

Publications per year

2017–2026

56

Authors

494

  1. HJ
    Howard Jay Siegel

    Colorado State University, United States

    6 publications · 135 citations

    6

    h-index

  2. AA
    Anthony A. Maciejewski

    Colorado State University, United States

    6 publications · 135 citations

    6

    h-index

  3. WC
    Wei Chong Ng

    Singapore University of Technology and Design, Singapore

    5 publications · 237 citations

    5

    h-index

  4. KD
    K. D. Glazebrook

    Newcastle University, United Kingdom

    5 publications · 174 citations

    5

    h-index

  5. WY
    Wei Yang Bryan Lim

    Nanyang Technological University, Singapore

    5 publications · 237 citations

    5

    h-index

1–5 of 494

Venues

  1. Operations Research

    14 publications · 1K citations

    13

    h-index

  2. IEEE Transactions on Automatic Control

    5 publications · 143 citations

    5

    h-index

  3. European Journal of Operational Research

    5 publications · 110 citations

    5

    h-index

  4. Advances in Applied Probability

    AAP · 4 publications · 79 citations

    4

    h-index

  5. arXiv (Cornell University)

    Repository · 4 publications · 63 citations

    4

    h-index

1–5