School of Economics and Management, Xiamen University of Technology, Xiamen 361024, Fujian, China
Supply chain finance is widely used in logistics and financial industries. For the financial service structure of the supply chain, the credit risk assessment model was designed. Around the production and sales process of enterprises, enterprises that involve the financial supply chain were linked together, and the financial credit situation in the supply chain was analyzed as a whole. The starting point of this research is the construction of the mathematical model of the credit risk assessment of the international financial supply chain. Finally, the MILP linear rule method was used to evaluate the credit risk of the enterprise's financial supply chain.
Supply chain finance, Credit risk assessment, MILP
Yitian Hong. Analysis of the Typical Model of Supply Chain Finance Based on Credit Risk Evaluation. Academic Journal of Business & Management (2022) Vol. 4, Issue 1: 55-60. https://doi.org/10.25236/AJBM.2022.040110.
 Su Y, Lu N. Supply Chain Finance Credit Risk Evaluation Method Based on Self-Adaption Weight[J]. Journal of Computer & Communications, 2015, 03(7):13-21.
 Shi J, Guo J, Wang S, et al. Credit Risk Evaluation of Online Supply Chain Finance Based on Third-party B2B E-commerce Platform: an Exploratory Research Based on China's Practice[J]. International Journal of u- and e- Service, Science and Technology, 2015, 8.
 Zhang L, Hu H, Zhang D. A credit risk assessment model based on SVM for small and medium enterprises in supply chain finance[J]. Financial Innovation, 2015, 1(1):14.
 Su Y, Lu N. Simulation of Game Model for Supply Chain Finance Credit Risk Based on Multi-Agent[J]. Open Journal of Social Sciences, 2015, 03(1):31-36.
 Hartono B, Paramita D. On individual risk preference measurement: models adaption and evaluation for an Indonesia context[J]. International Journal of Applied Decision Sciences, 2015, 8(4):376.
 Zhang C L. Risk assessment of supply chain finance with intuitionistic fuzzy information[J]. 2016, 31(3):1967-1975.
 He Y, Xu Z, Gu J. An approach to group decision making with hesitant information and its application in credit risk evaluation of enterprises[J]. Applied Soft Computing, 2016, 43:159-169.
 Bi X, Dong X, Liu Y T. Supply Chain Finance Credit Risk Evaluation Based on Trapezoid Fuzzy Number[J]. 2013:1467-1475.
 Qiao L S H, Lin Z H. The Evaluation Study of Supply Chain Financial Risk Based on the BP Neural Network[J]. Applied Mechanics & Materials, 2013, 401-403:2306-2309.
 Li L J, Si M T. The Financial Risk Assessment of Manufacturing Firms under the Supply Chain Environment[J]. Applied Mechanics & Materials, 2013, 433-435:2367-2372.
 Zhou X F, Lv H, Xu S W. Evaluation of Electronic Products OEM Industry Supply Chain Risk Based on Fuzzy Influence Diagram[J]. Applied Mechanics & Materials, 2013, 380-384:2498-2501.
 Jokinen R, Pettersson F, Saxén H. An MILP model for optimization of a small-scale LNG supply chain along a coastline[J]. Applied Energy, 2015, 138(C):423-431.
 Yan H L, Shu-Xiang L I, Polytechnic H I. Research on Finance Model of Agricultural Supply Chain Under the New Rural Construction Environment[J]. Journal of Hunan Industry Polytechnic, 2014, 124(2):565-571.
 More D, Basu P. Challenges of supply chain finance: A detailed study and a hierarchical model based on the experiences of an Indian firm[J]. Business Process Management Journal, 2013, 19(4):624-647(24).
 Wang Y, Ma Y, Zhan Y. The Research on Supply Chain Finance Model with Supplier-led[J]. International Journal of Advancements in Computing Technology, 2013, 5(8):566-576.