Selected article for: "artificial intelligence and decision support"
Author: Henao-Hernández, I.; Muñoz-Villamizar, A.; Solano-Charris, E. L.
Title: Connectivity Through Digital Supply Chain Management: A Comprehensive Literature Review
  • Cord-id: qjl9x7du
  • Document date: 2021_1_1
    • ID: qjl9x7du
    Snippet: The COVID-19 pandemic, the evolution of Industry 4.0, and its implementation in logistics lead to the acceleration of Digital Supply Chains (DSC). These networks adopt technologies such as Sensor Nodes, Radio Frequency Identification or Artificial Intelligence that allow managers to get traceability of the Supply Chain. Traceability of the Supply Chain improves decision-support systems and provides valuable real-time information to increase the effectiveness of the decision-making process. In th
    Document: The COVID-19 pandemic, the evolution of Industry 4.0, and its implementation in logistics lead to the acceleration of Digital Supply Chains (DSC). These networks adopt technologies such as Sensor Nodes, Radio Frequency Identification or Artificial Intelligence that allow managers to get traceability of the Supply Chain. Traceability of the Supply Chain improves decision-support systems and provides valuable real-time information to increase the effectiveness of the decision-making process. In this article, the academic contributions on connectivity approaches for DSC are analysed and classified according to four main groups, i.e., warehousing management, production systems, transportation networks and reverse logistics. Finally, conclusions and future research lines are presented. © 2021, The Author(s), under exclusive license to Springer Nature Switzerland AG.

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