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

被引:20
作者
Lee, Chung-Hong [1 ]
Yang, Hsin-Chang [2 ]
Wei, Yu-Chen [3 ]
Hsu, Wen-Kai [4 ]
机构
[1] Natl Kaohsiung Univ Sci & Technol, Dept Elect Engn, Kaohsiung 807618, Taiwan
[2] Natl Univ Kaohsiung, Dept Informat Management, Kaohsiung 807618, Taiwan
[3] Natl Kaohsiung Univ Sci & Technol, Dept Money & Banking, Kaohsiung 807618, Taiwan
[4] Natl Kaohsiung Univ Sci & Technol, Dept Shipping & Transportat Management, Kaohsiung 807618, Taiwan
来源
APPLIED SCIENCES-BASEL | 2021年 / 11卷 / 11期
关键词
blockchain; event detection; machine learning; supply chain management; Twitter; GLOBAL SUPPLY CHAINS; BIG DATA ANALYTICS; DISRUPTIVE EVENTS; TECHNOLOGY; LOGISTICS; IMPACT; MODEL;
D O I
10.3390/app11114811
中图分类号
O6 [化学];
学科分类号
0703 ;
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.
引用
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页数:24
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