Supply Chain Data Integration

Supply Chain Data Integration is a methodological framework that systematically consolidates and synchronizes data from disparate supply chain entities and systems into a unified, interoperable structure to enable real-time information visibility, accuracy, and decision-making across the supply network.

442

Publications

34.9K

Citations

1.1K

Authors

573

Institutions

Publications per year

2017–2026

266

Publications

442

1–5 of 442

Authors

1.1K

  1. SF
    Samuel Fosso Wamba

    TBS Education, France

    8 publications · 882 citations

    8

    h-index

  2. AG
    Angappa Gunasekaran

    California State University, Bakersfield, United States

    5 publications · 2.4K citations

    5

    h-index

  3. CV
    Charles V. Trappey

    National Yang Ming Chiao Tung University, Taiwan

    4 publications · 69 citations

    4

    h-index

  4. WY
    Wantao Yu

    University of Roehampton, United Kingdom

    4 publications · 886 citations

    4

    h-index

  5. CC
    Charu Chandra

    University of Michigan–Dearborn, United States

    4 publications · 112 citations

    4

    h-index

1–5 of 1.1K

Venues

  1. International Journal of Production Economics

    13 publications · 4.8K citations

    14

    h-index

  2. Annals of Operations Research

    12 publications · 1.2K citations

    12

    h-index

  3. International Journal of Production Research

    11 publications · 1.3K citations

    11

    h-index

  4. Industrial Management & Data Systems

    10 publications · 792 citations

    10

    h-index

  5. Production Planning & Control

    8 publications · 710 citations

    9

    h-index

1–5