Random Batch Sizes

Random Batch Sizes is a stochastic modeling construct in bulk service queueing theory that characterizes the probabilistic variation in the number of customers or items grouped together for simultaneous service, distinguishing it from deterministic or fixed batch size approaches by incorporating randomness in batch formation.

18

Publications

786

Citations

32

Authors

22

Institutions

Publications per year

2017–2026

5

Authors

32

  1. SJ
    Shi Jin

    University of Wisconsin–Madison, United States

    2 publications · 150 citations

    2

    h-index

  2. LL
    Lei Li

    Shanghai Jiao Tong University, China

    2 publications · 150 citations

    2

    h-index

  3. JL
    Jian‐Guo Liu

    Duke University, United States

    2 publications · 169 citations

    2

    h-index

  4. DN
    D. N. Shanbhag

    University of Sheffield, United Kingdom

    2 publications · 91 citations

    2

    h-index

  5. BW
    Bruce W. Schmeiser

    Purdue University West Lafayette, United States

    1 publications · 12 citations

    1

    h-index

1–5 of 32

Venues

  1. European Journal of Operational Research

    2 publications · 159 citations

    2

    h-index

  2. Journal of Applied Probability

    JAP · 2 publications · 91 citations

    2

    h-index

  3. Annals of Operations Research

    1 publications · 31 citations

    1

    h-index

  4. Journal of Computational Physics

    1 publications · 132 citations

    1

    h-index

  5. Purdue e-Pubs (Purdue University System)

    Repository · 1 publications · 32 citations

    1

    h-index

1–5