TY - JOUR
T1 - TruCert
T2 - Blockchain-based trustworthy product certification within autonomous automotive supply chains
AU - Alsadi, Mohammed
AU - Arshad, Junaid
AU - Ali, Jahid
AU - Prince, Alousseynou
AU - Shishank, Shishank
N1 - Funding Information:
This research is funded by Innovate UK Project, Digital Innovations for Niche Sector Industry Supply Chain Optimisation (DINS) no. 91264 .
Publisher Copyright:
© 2023 The Author(s)
PY - 2023/8
Y1 - 2023/8
N2 - Supply chain networks are complex structures which introduce significant challenges regarding transparency in production and traceability of components, making product certification non-trivial. Visibility within quality assurance processes is critical to this and is particularly important for autonomous & driver-less vehicles which rely on correct operation of individual parts (in the absence of human intervention) to achieve safety of such vehicles. Failure to ascertain quality assurance of parts can result in rogue behaviour among driver-less vehicles which can result in a risk to human lives. In this paper, a blockchain-based approach - TruCert, is proposed which achieves trustworthy product certification through enhanced visibility within tier 1 and beyond for complex automotive supply chains. Leveraging blockchain technology, TruCert?s potential to improve product quality assurance is demonstrated whilst also strengthening supply chain resilience to combat risks and uncertainties. Utilising the use-case of autonomous connected vehicles manufacturing, design and development of TruCert solution is presented including detailed system design, data model, and smart contracts & oracle implementations. TruCert enables trustworthy part certification across supply chain beyond tier 1 whilst achieving interoperability with heterogeneous systems across suppliers and other stakeholders. Outcomes of evaluation with respect to cost, performance, and security are also presented which highlight the effectiveness of the approach whilst identifying directions for future work.
AB - Supply chain networks are complex structures which introduce significant challenges regarding transparency in production and traceability of components, making product certification non-trivial. Visibility within quality assurance processes is critical to this and is particularly important for autonomous & driver-less vehicles which rely on correct operation of individual parts (in the absence of human intervention) to achieve safety of such vehicles. Failure to ascertain quality assurance of parts can result in rogue behaviour among driver-less vehicles which can result in a risk to human lives. In this paper, a blockchain-based approach - TruCert, is proposed which achieves trustworthy product certification through enhanced visibility within tier 1 and beyond for complex automotive supply chains. Leveraging blockchain technology, TruCert?s potential to improve product quality assurance is demonstrated whilst also strengthening supply chain resilience to combat risks and uncertainties. Utilising the use-case of autonomous connected vehicles manufacturing, design and development of TruCert solution is presented including detailed system design, data model, and smart contracts & oracle implementations. TruCert enables trustworthy part certification across supply chain beyond tier 1 whilst achieving interoperability with heterogeneous systems across suppliers and other stakeholders. Outcomes of evaluation with respect to cost, performance, and security are also presented which highlight the effectiveness of the approach whilst identifying directions for future work.
KW - Blockchain
KW - DLT
KW - Product certification
KW - Supply chain
KW - Traceability
KW - Trustworthiness
KW - Visibility
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U2 - 10.1016/j.compeleceng.2023.108738
DO - 10.1016/j.compeleceng.2023.108738
M3 - Article
SN - 0045-7906
VL - 109
JO - Computers and Electrical Engineering
JF - Computers and Electrical Engineering
M1 - 108738
ER -