Demand Forecasting Collaboration

Demand Forecasting Collaboration is a supply chain collaboration framework that integrates shared data, synchronized forecasting methods, and joint decision-making processes among supply chain partners to enhance the accuracy and reliability of demand predictions.

29

Publications

1.6K

Citations

66

Authors

47

Institutions

Publications per year

2017–2026

8

Authors

66

  1. KX
    Kefeng Xu

    The University of Texas at San Antonio, United States

    2 publications · 54 citations

    2

    h-index

  2. MB
    Michael Bourlakis

    Cranfield University, United Kingdom

    2 publications · 144 citations

    2

    h-index

  3. SA
    S. Afshin Mansouri

    Brunel University of London, United Kingdom

    2 publications · 144 citations

    2

    h-index

  4. CE
    Can Eksoz

    Brunel University of London, United Kingdom

    2 publications · 144 citations

    2

    h-index

  5. RY
    Ruiliang Yan

    East Texas A&M University, United States

    2 publications · 68 citations

    2

    h-index

1–5 of 66

Venues

  1. European Journal of Operational Research

    3 publications · 435 citations

    3

    h-index

  2. Journal of Business Logistics

    2 publications · 60 citations

    2

    h-index

  3. International Journal of Production Economics

    2 publications · 150 citations

    2

    h-index

  4. ˜The œjournal of business forecasting

    1 publications · 11 citations

    1

    h-index

  5. Manufacturing & Service Operations Management

    1 publications · 45 citations

    1

    h-index

1–5