Demand Variability Modeling

Demand Variability Modeling is a quantitative analytical framework within revenue risk assessment that characterizes the statistical fluctuations in customer demand over time to enable more accurate forecasting and risk mitigation strategies.

106

Publications

6.4K

Citations

266

Authors

164

Institutions

Publications per year

2017–2026

18

Authors

266

  1. ZM
    Zuo‐Jun Max Shen

    University of California, Berkeley, United States

    2 publications · 26 citations

    2

    h-index

  2. KK
    Kin Keung Lai

    City University of Hong Kong, Hong Kong SAR China

    2 publications · 83 citations

    2

    h-index

  3. ZY
    Zhong Yao

    Beihang University, China

    2 publications · 83 citations

    2

    h-index

  4. ÖÖ
    Özalp Özer

    The University of Texas at Dallas, United States

    2 publications · 190 citations

    2

    h-index

  5. TB
    Tamer Boyacı

    McGill University, Canada

    2 publications · 190 citations

    2

    h-index

1–5 of 266

Venues

  1. International Journal of Production Research

    11 publications · 411 citations

    11

    h-index

  2. Production and Operations Management

    POMS · 8 publications · 604 citations

    8

    h-index

  3. Operations Research

    6 publications · 1.3K citations

    6

    h-index

  4. SSRN Electronic Journal

    Repository · 4 publications · 56 citations

    4

    h-index

  5. IIE Transactions

    4 publications · 223 citations

    4

    h-index

1–5