Enabling Blockchain Based SCM Systems with a Real Time Event Monitoring Function for Preemptive Risk Management

Applied Sciences

Chung-Hong Lee¹  Hsin-Chang Yang²  Yu-Chen Wei³  Wen-Kai Hsu⁴ 

[1] Department of Electrical Engineering, National Kaohsiung University of Science and Technology, Kaohsiung 807618, Taiwan;Department of Information Management, National University of Kaohsiung, Kaohsiung 807618, Taiwan;Department of Money and Banking, National Kaohsiung University of Science and Technology, Kaohsiung 807618, Taiwan;Department of Shipping and Transportation Management, National Kaohsiung University of Science and Technology, Kaohsiung 807618, Taiwan;

关键词: blockchain;    event detection;    machine learning;    supply chain management;    Twitter;   

DOI  :  10.3390/app11114811

来源: DOAJ

【 摘 要 】

The risk of supply chain disruption is usually related to daily disturbances in supply chain operations (e.g., demand fluctuations) and some emergency risks, such as earthquakes and epidemic outbreaks. During a crisis, companies need agility to quickly find new suppliers and open auxiliary sales channels to meet customer needs and remain competitive. However, identifying “event” is one of the most difficult challenges of current decision support systems. If the system encounters an emergency, it is usually unable to promptly notify users of the warning to avoid risks. A sensible solution is to incorporate the real-time event-monitoring system into SCM (i.e., supply chain management) in order to share emergency information in the early stage for preemptive management in the supply chain. On the other hand, in order to process confidential supply chain data with other members, the SCM infrastructure requires secure data sharing. The blockchain-based SCM system can improve the transparency of traceability to ensure that the supply chain system provides high-quality products and protects data privacy and security. The view is taken; therefore, in this work, we combined a method of real-time event detection using collected Twitter data and blockchain technology for event monitoring to improve the visibility of the supply chain system and take preemptive measures for risk avoidance. The experiments show some interesting results and potentials for future work in the field of the agile supply chain.

【 授权许可】

Unknown