Demand Uncertainty Modeling

Demand Uncertainty Modeling is a stochastic modeling approach that characterizes the variability and unpredictability of customer demand in multi-echelon inventory systems to support service level planning under uncertain conditions.

704

Publications

38.7K

Citations

1.7K

Authors

731

Institutions

Publications per year

2017–2026

265

Authors

1.7K

  1. IE
    Ignacio E. Grossmann

    Carnegie Mellon University, United States

    8 publications · 877 citations

    8

    h-index

  2. WH
    William H. K. Lam

    Hong Kong Polytechnic University, Hong Kong SAR China

    6 publications · 611 citations

    6

    h-index

  3. ST
    S. Travis Waller

    UNSW Sydney, Australia

    6 publications · 398 citations

    6

    h-index

  4. AC
    Anthony Chen

    Utah State University, United States

    5 publications · 267 citations

    5

    h-index

  5. TX
    Tiaojun Xiao

    Nanjing University, China

    5 publications · 598 citations

    5

    h-index

1–5 of 1.7K

Venues

  1. International Journal of Production Economics

    33 publications · 2.4K citations

    25

    h-index

  2. European Journal of Operational Research

    35 publications · 2.1K citations

    25

    h-index

  3. International Journal of Production Research

    32 publications · 1.3K citations

    22

    h-index

  4. Production and Operations Management

    POMS · 19 publications · 1.6K citations

    18

    h-index

  5. Computers & Industrial Engineering

    19 publications · 804 citations

    17

    h-index

1–5