The Evaluation Study of Supply Chain Financial Risk Based on the BP Neural Network

2013 ◽  
Vol 401-403 ◽  
pp. 2306-2309 ◽  
Author(s):  
Lin Si Hang Qiao ◽  
Zhi Hong Lin

In recent years, the supply chain financial has become the focus of attention of the many financial institutions, because the supply chain financing model is to make full use of the supply chain and the characteristics of small and medium-sized enterprise designed. It is not only the effective way of small and medium-sized enterprises in China to solve the difficulty of financing, but also is an effective way of the Commercial Banks expand financial services [ . This paper firstly constructed the financial credit risk evaluation index system of small and medium-sized enterprise based on supply chain, through the BP neural network model analyze credit risk of small and medium-sized enterprise, then predicted their financing credit level, to provide the basis for Commercial Banks for credit.

2011 ◽  
Vol 143-144 ◽  
pp. 312-316 ◽  
Author(s):  
Dao Guo Li ◽  
Zhong Yuan Zhou ◽  
Chen Yang

Based on the complexity of the evaluation index for supplier selection in green supply chain, this paper puts forward the evaluation index system in green supply chain and presents BP neural network model to select supplier with evaluation indexes as BP neural network's input and the outcome of DEA/AHP model as BP neural network's expected output. It can be proved that the model can effectively select suppliers in green supply chain by simulation experiment with LIINGO 9.0 and MATLAB7.0.


2020 ◽  
pp. 1-11
Author(s):  
Fan Xuan

Supply chain financial risk control has become the biggest obstacle restricting financial institutions from developing supply chain financial services. If financial institutions want to make a difference in the supply chain finance business, they need to implement strong control measures against supply chain finance risks. Based on the research of supply chain finance and risk related theories, this paper uses fuzzy preference relations and selects the main risk criteria to construct a risk evaluation index system. Moreover, this paper takes the development of J company’s supply chain finance business as a background to conduct an empirical analysis and proposes the risk management measures and development strategies of J company’s actual supply chain finance business. The combination of quantitative analysis and qualitative evaluation is more comprehensive and operational value for the research and management of supply chain financial risks. In addition, this paper uses the evaluation index system constructed in this paper to conduct a more comprehensive summary and analysis of the internal and external environment of risk influencing factors. The research results show that the performance of the model constructed in this paper is good.


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