Multi-echelon Demand Forecasting

Multi-Echelon Demand Forecasting is a demand forecasting system that integrates demand data across multiple hierarchical levels of a supply chain network to improve forecast accuracy and coordination by distinguishing itself from single-echelon approaches through its explicit modeling of interdependencies between echelons.

3

Publications

203

Citations

7

Authors

7

Institutions

Publications per year

2017–2026

1

Authors

7

  1. MM
    Mohammad Modarres

    University of Maryland, College Park, United States

    1 publications · 18 citations

    1

    h-index

  2. WL
    Wen‐Yau Liang

    National Changhua University of Education, Taiwan

    1 publications · 138 citations

    1

    h-index

  3. WV
    Wouter Verbeke

    KU Leuven, Belgium

    1 publications · 47 citations

    1

    h-index

  4. RT
    Reza Tavakkoli‐Moghaddam

    University of Tehran, Iran

    1 publications · 18 citations

    1

    h-index

  5. CH
    Chun‐Che Huang

    National Chi Nan University, Taiwan

    1 publications · 138 citations

    1

    h-index

1–5 of 7

Venues

  1. Journal of Intelligent & Fuzzy Systems

    1 publications · 18 citations

    1

    h-index

  2. European Journal of Operational Research

    1 publications · 47 citations

    1

    h-index

  3. Decision Support Systems

    1 publications · 138 citations

    1

    h-index

1–3