| Title |
Application of blockchain and smart contracts in autonomous vehicle supply chains: An experimental design |
| ID_Doc |
72983 |
| Authors |
Arunmozhi, M; Venkatesh, VG; Arisian, S; Shi, YY; Sreedharan, VR |
| Title |
Application of blockchain and smart contracts in autonomous vehicle supply chains: An experimental design |
| Year |
2022 |
| Published |
|
| DOI |
10.1016/j.tre.2022.102864 |
| Abstract |
With the rise of digital sustainable business models in the Autonomous Vehicles (AV) industry, the traditional automakers are undergoing a major restructuring in their key performance areas and associated supply chains processes. Focusing on an innovative AV design (AD) concept, this paper investigates how Artificial Intelligence (AI) and Blockchain-based Smart Contracts can enhance sustainable supply chain operations. A novel design element, Margin Indicator (MI), is developed to obtain reliable predictive analytics results from the mainstream machine learning algorithms. The proposed approach supports a robust control of costs and energy, while maintaining a high level of transparency in managing decentralized AV supply chain processes, monetary impacts, and environmental sustainability. Testing the developed concept through a preliminary case study, we observed a reduction in energy wastage and hidden financial transactions by 12.48% and 11.58%, respectively. Supported by the rapid advancement in the blockchain and AI tech-nologies, the developed framework is expected to improve product traceability, transaction transparency, and sustainable economic growth for the AV supply chains. |
| Author Keywords |
Digital supply chain; Blockchain; Smart contract; Artificial intelligence; Autonomous vehicle; Sustainable logistics |
| Index Keywords |
Index Keywords |
| Document Type |
Other |
| Open Access |
Open Access |
| Source |
Science Citation Index Expanded (SCI-EXPANDED); Social Science Citation Index (SSCI) |
| EID |
WOS:000864072900003 |
| WoS Category |
Economics; Engineering, Civil; Operations Research & Management Science; Transportation; Transportation Science & Technology |
| Research Area |
Business & Economics; Engineering; Operations Research & Management Science; Transportation |
| PDF |
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