Traditional supply chain finance has problems in four aspects: business flow, logistics, capital flow, and information flow. Blockchain technologies such as smart contracts and consensus mechanisms can help break through the above problems. They can improve the implementation effect of supply chain finance, and reduce risks. Based on blockchain technology, this paper constructs a multi-dimensional dynamic supply chain financial risk control system. The system includes multi-dimensional dynamic supply chain financial risk control technology, a credit evaluation system, and a capital monitoring and early warning system. By constructing a multi-dimensional dynamic supply chain financial risk control system, effective risk complete monitoring and penetrating supervision can be achieved. At the same time, this paper introduces technologies such as machine learning and deep learning to build an effective risk control system, which is of great significance for reducing supply chain financial risks.

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Blockchain-Based Multi-dimensional Dynamic Supply Chain Finance Risk Control System

  • Haifeng Guo,
  • Jun Xiao,
  • Biliang Wang,
  • Yuyun Jie,
  • Yuwei He

摘要

Traditional supply chain finance has problems in four aspects: business flow, logistics, capital flow, and information flow. Blockchain technologies such as smart contracts and consensus mechanisms can help break through the above problems. They can improve the implementation effect of supply chain finance, and reduce risks. Based on blockchain technology, this paper constructs a multi-dimensional dynamic supply chain financial risk control system. The system includes multi-dimensional dynamic supply chain financial risk control technology, a credit evaluation system, and a capital monitoring and early warning system. By constructing a multi-dimensional dynamic supply chain financial risk control system, effective risk complete monitoring and penetrating supervision can be achieved. At the same time, this paper introduces technologies such as machine learning and deep learning to build an effective risk control system, which is of great significance for reducing supply chain financial risks.