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Blockchain for supply chain quality management: challenges and opportunities in context of open manufacturing and industrial internet of things


Li, J and Maiti, A and Springer, M and Gray, T, Blockchain for supply chain quality management: challenges and opportunities in context of open manufacturing and industrial internet of things, International Journal of Computer Integrated Manufacturing, 33, (12) pp. 1321-1355. ISSN 0951-192X (2020) [Refereed Article]

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Copyright 2020 Informa UK Limited, trading as Taylor & Francis Group

DOI: doi:10.1080/0951192X.2020.1815853


In global Supply Chain Quality Management (SCQM), there are methods to ensure continuity of supply, at appropriate prices while meeting quality standards. But they are limited by the large and fallible role of humans, especially in manufacturing and quality control. Open Manufacturing aims to establish an open network of manufacturers that enables product information sharing among others in the production chain. Realizing the goals of open manufacturing requires processing the large datasets inherent to the production chain partners. But it is difficult to comply with the trust and privacy requirements of the suppliers in a supply chain. This paper presents a comprehensive survey of blockchain and its current and potential use in the industrial context including Industrial Internet of Things (IIoT)-based sensor networks, and the impact of the blockchain technology in manufacturing related areas such as traceability. The focus of this paper is on a potential application of blockchain in SCQM with detailed analysis of its technical feasibility and the methods of transitioning between the current approaches to a blockchain-oriented platform. An innovative use of blockchain to store referral information is also discussed. The survey concludes that blockchain along with IIoT can improve SCQM in an Open Manufacturing model.

Item Details

Item Type:Refereed Article
Keywords:blockchain, open manufacturing, industrial internet of things, manufacturing information systems, supply chain, quality management
Research Division:Information and Computing Sciences
Research Group:Distributed computing and systems software
Research Field:Cyberphysical systems and internet of things
Objective Division:Manufacturing
Objective Group:Other manufacturing
Objective Field:Other manufacturing not elsewhere classified
UTAS Author:Li, J (Miss Jinying Li)
UTAS Author:Maiti, A (Dr Ananda Maiti)
UTAS Author:Springer, M (Dr Matthew Springer)
UTAS Author:Gray, T (Mr Tony Gray)
ID Code:141801
Year Published:2020
Web of Science® Times Cited:29
Deposited By:Information and Communication Technology
Deposited On:2020-11-20
Last Modified:2021-02-03

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