Supply Chain Analytics

Supply Chain Analytics is the application of quantitative and analytical methods to supply chain data to identify patterns, optimize operations, and support evidence-based decision-making within supply chain management.

493

Publications

44.3K

Citations

1.3K

Authors

686

Institutions

Publications per year

2017–2026

355

Authors

1.3K

  1. SF
    Samuel Fosso Wamba

    TBS Education, France

    11 publications · 3.3K citations

    11

    h-index

  2. AG
    Angappa Gunasekaran

    California State University, Bakersfield, United States

    9 publications · 4.1K citations

    9

    h-index

  3. RD
    Rameshwar Dubey

    Symbiosis International University, India

    8 publications · 2.7K citations

    8

    h-index

  4. RF
    Reza Farzipoor Saen

    Islamic Azad University, Karaj, Iran

    5 publications · 332 citations

    6

    h-index

  5. DI
    Dmitry Ivanov

    Berlin School of Economics and Law, Germany

    5 publications · 2.9K citations

    5

    h-index

1–5 of 1.3K

Venues

  1. International Journal of Production Research

    22 publications · 4.3K citations

    21

    h-index

  2. International Journal of Production Economics

    18 publications · 5.1K citations

    18

    h-index

  3. Annals of Operations Research

    17 publications · 1.9K citations

    17

    h-index

  4. Computers & Industrial Engineering

    16 publications · 2.1K citations

    15

    h-index

  5. 13

    h-index

1–5

See also

Supply Chain Analytics

Core Methods

Applications

Data Sources

Performance Metrics

Implementation Challenges