Application of blockchain and smart contracts in autonomous vehicle supply chains: An experimental design. (September 2022)
- Record Type:
- Journal Article
- Title:
- Application of blockchain and smart contracts in autonomous vehicle supply chains: An experimental design. (September 2022)
- Main Title:
- Application of blockchain and smart contracts in autonomous vehicle supply chains: An experimental design
- Authors:
- Arunmozhi, Manimuthu
Venkatesh, V.G.
Arisian, Sobhan
Shi, Yangyan
Raja Sreedharan, V. - Abstract:
- Highlights: An innovative AV design using Artificial Intelligence and Blockchain-based smart contract is proposed. A novel design element, Margin Indicator, is incorporated into the proposed AV design. The proposed approach supports a robust control of costs and energy by reducing energy wastage and hidden financial transactions. The proposed framework offers an improved product traceability, transaction transparency, and sustainable economic growth for the AV supply chains. 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 rapidHighlights: An innovative AV design using Artificial Intelligence and Blockchain-based smart contract is proposed. A novel design element, Margin Indicator, is incorporated into the proposed AV design. The proposed approach supports a robust control of costs and energy by reducing energy wastage and hidden financial transactions. The proposed framework offers an improved product traceability, transaction transparency, and sustainable economic growth for the AV supply chains. 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 technologies, the developed framework is expected to improve product traceability, transaction transparency, and sustainable economic growth for the AV supply chains. … (more)
- Is Part Of:
- Transportation research. Volume 165(2022)
- Journal:
- Transportation research
- Issue:
- Volume 165(2022)
- Issue Display:
- Volume 165, Issue 2022 (2022)
- Year:
- 2022
- Volume:
- 165
- Issue:
- 2022
- Issue Sort Value:
- 2022-0165-2022-0000
- Page Start:
- Page End:
- Publication Date:
- 2022-09
- Subjects:
- Digital supply chain -- Blockchain -- Smart contract -- Artificial intelligence -- Autonomous vehicle -- Sustainable logistics
Logistics -- Periodicals
Transportation -- Periodicals
388.011 - Journal URLs:
- http://www.sciencedirect.com/science/journal/13665545 ↗
http://www.elsevier.com/journals ↗ - DOI:
- 10.1016/j.tre.2022.102864 ↗
- Languages:
- English
- ISSNs:
- 1366-5545
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - 9026.274640
British Library DSC - BLDSS-3PM
British Library HMNTS - ELD Digital store - Ingest File:
- 23294.xml