Supply Chain Forecasting

Supply Chain Forecasting is a predictive analytics methodology that specifically estimates future demand, supply, and inventory dynamics across interconnected production and distribution nodes to support coordinated decision-making within a supply chain network.

690

Publications

54.7K

Citations

1.8K

Authors

838

Institutions

Publications per year

2017–2026

332

Authors

1.8K

  1. JE
    John E. Boylan

    Buckinghamshire New University, United Kingdom

    7 publications · 608 citations

    7

    h-index

  2. RF
    Robert Fildes

    Lancaster University, United Kingdom

    7 publications · 643 citations

    7

    h-index

  3. MZ
    M. Zied Babaï

    Kedge Business School, France

    6 publications · 320 citations

    6

    h-index

  4. LR
    Luis Rabelo

    University of Central Florida, United States

    5 publications · 104 citations

    5

    h-index

  5. HS
    Hyoduk Shin

    University of California San Diego, United States

    5 publications · 508 citations

    5

    h-index

1–5 of 1.8K

Venues

  1. International Journal of Production Research

    27 publications · 2.1K citations

    21

    h-index

  2. International Journal of Production Economics

    19 publications · 3.4K citations

    18

    h-index

  3. European Journal of Operational Research

    14 publications · 2.5K citations

    14

    h-index

  4. 13

    h-index

  5. Computers & Industrial Engineering

    14 publications · 2.2K citations

    13

    h-index

1–5