학술논문

Agile Blockchain-based Risk Management Framework with Integrated Artificial Intelligence in a Supply Chain Industry
Document Type
Conference
Source
2023 Second International Conference on Augmented Intelligence and Sustainable Systems (ICAISS) Augmented Intelligence and Sustainable Systems (ICAISS), 2023 Second International Conference on. :1226-1232 Aug, 2023
Subject
Communication, Networking and Broadcast Technologies
Components, Circuits, Devices and Systems
Computing and Processing
Robotics and Control Systems
Industries
Costs
Supply chains
Smart contracts
Regulation
Blockchains
Teamwork
Agile
Blockchain
Risk Management
Artificial Intelligence
Supply Chain
Transparency
Accountability
Efficiency
Language
Abstract
The supply chain sector operates in a complex environment and faces various challenges, including fluctuations in demand, disruptions, and the requirement of adhering to regulations. The emergence of groundbreaking technologies such as blockchain, AI, and IoT is driving significant changes in the industry, resulting in improved efficiency, transparency, and security measures. This research paper has used the case-study method to develop to present a dynamic risk management framework that integrates blockchain technology and artificial intelligence. By building a distributed, decentralised ledger that records transactions safely and openly, blockchain technology can be incorporated into the supply chain sector. This framework comprises a risk association tree, smart contracts, and a risk item ledger, offering notable benefits such as enhanced risk management capabilities, operational efficiency, transparency, and potential for collaboration. However, it is essential to note that implementing this framework may involve complexity, necessitate modifications to existing processes, and introduce new risk elements.