Bayesian Inventory Updating

Bayesian Inventory Updating is a stochastic inventory control method that uses Bayesian inference to dynamically update demand parameter distributions and revise reorder points in response to observed demand data.

25

Publications

1.8K

Citations

46

Authors

31

Institutions

Publications per year

2017–2026

2

Authors

46

  1. JS
    Jing-Sheng Song

    Duke University, United States

    2 publications · 111 citations

    2

    h-index

  2. XL
    Xiangwen Lu

    University of California, Irvine, United States

    2 publications · 111 citations

    2

    h-index

  3. TC
    Tsan‐Ming Choi

    Hong Kong Polytechnic University, Hong Kong SAR China

    2 publications · 95 citations

    2

    h-index

  4. LC
    Li Chen

    Cornell University, United States

    2 publications · 205 citations

    2

    h-index

  5. KZ
    Kaijie Zhu

    Hong Kong University of Science and Technology, Hong Kong SAR China

    2 publications · 111 citations

    2

    h-index

1–5 of 46

Venues

  1. Operations Research

    4 publications · 459 citations

    4

    h-index

  2. Manufacturing & Service Operations Management

    3 publications · 362 citations

    3

    h-index

  3. Computers & Operations Research

    3 publications · 177 citations

    3

    h-index

  4. Management Science

    2 publications · 299 citations

    2

    h-index

  5. Naval Research Logistics (NRL)

    1 publications · 60 citations

    1

    h-index

1–5