Issue |
Manufacturing Rev.
Volume 11, 2024
|
|
---|---|---|
Article Number | 8 | |
Number of page(s) | 17 | |
DOI | https://doi.org/10.1051/mfreview/2024006 | |
Published online | 09 April 2024 |
Review
Digital supply chain: literature review of seven related technologies
Macau University of Science and Technology, MACAO, Macau, China
* e-mail: yuhuang@must.edu.mo
** All the authors contribute equally to this paper.
Received:
10
December
2023
Accepted:
16
February
2024
This paper systematically reviews literature related with digital supply chains (DSC) and investigates the application status and development trend of different digital technologies in supply chain management. The review is conducted from the perspective of seven key digital supply chain technologies, i.e. Internet of Things (IoT) & Radio Frequency Identification (RFID), 5th Generation Mobile Communication Technology (5G), 3D Printing, Big data (BD), Blockchain, Digital Twins (DT), and Intelligent autonomous vehicles (IAVs). It highlights the main limitations and opportunities of the various DSC technologies, provides an overview of prior studies, and identifies knowledge gaps by outlining the advantages, weaknesses and restrictions of individual technology. The paper also aims at providing a development framework as a roadmap for the match of different digital technologies with different strategic goals.
Key words: Digital supply chain (DSC) / internet of things / RFID / 5G / 3D printing / big data / blockchain / digital twins / intelligent autonomous vehicles
© S. Zhang et al., Published by EDP Sciences 2024
This is an Open Access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.