Distributed Ledger Technologies in Supply Chain Security Management: A Comprehensive Survey
Abstract
Supply-chains (SC) present performance bottlenecks that contribute to a high level of costs, infltration of product quality, and impact productivity. Examples of such inhibitors include the bullwhip effect, new product lines, high inventory, and restrictive data fows. These bottlenecks can force manufacturers to source more raw materials and increase production signifcantly. Also, restrictive data fow in a complex global SC network generally slows down the movement of goods and services. The use of Distributed LedgerTechnologies (DLT) in supply chain management (SCM) demonstrates the potentials to to reduce these bottlenecks through transparency, decentralization, and optimizations in data management. These technologies promise to enhance the trustworthiness of entities within the supply chain, ensure the accuracy of data-driven operations, and enable existing SCM processes to migrate from a linear to a fully circular economy. This paper presents a comprehensive review of 111 articles published in the public domain in the use and effcacyofDLTin SC.It acts asaroadmapfor current and futureresearchers whofocus onSC Security Management to better understand the integration of digital technologies such as DLT. We clustered these articles using standard descriptors linked to trustworthiness, namely, immutability, transparency, traceability, and integrity.Citation
Asante, M., Epiphaniou, G., Maple, C., Al-Khateeb, H., Bottarelli, M. and Zrar Ghafoor, K. (2023) Distributed ledger technologies in supply chain security management : a comprehensive survey. IEEE Transactions on Engineering Management, 70(2), pp. 713-739, doi: 10.1109/TEM.2021.3053655.Publisher
IEEEJournal
IEEE Transactions on Engineering ManagementAdditional Links
https://ieeexplore.ieee.org/document/9366288Type
Journal articleLanguage
enDescription
This is an accepted manuscript of an article published by IEEE in IEEE Transactions on Engineering Management, available online at: https://ieeexplore.ieee.org/document/9366288 The accepted version of the publication may differ from the final published versionISSN
0018-9391ae974a485f413a2113503eed53cd6c53
10.1109/TEM.2021.3053655
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Except where otherwise noted, this item's license is described as https://creativecommons.org/licenses/by-nc-nd/4.0/