基于数值分析算法的供应链金融风险评估分析

IF 1.2 Q4 BUSINESS
Na Li, Hao Dong
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引用次数: 0

摘要

为了促进供应链金融的协调性和稳定性,改善中小企业的融资环境,本文设计了一个供应链金融风险评估分析平台。结合大量风险评估数据的特点,在平台设计过程中引入数值分析算法,利用数值分析算法中的外推法对风险评估相关数据进行计算。为了使计算速度更快,数据更准确,采用中心差商外推法加速,并引入停机机制。首先构造计算的近似公式,然后构造变量步长序列,得到近似序列。最后,利用得到的近似序列值构造插值多项式,通过连续迭代得到多项式的常数项,即最终的风险因子。为了验证基于数值分析的算法在供应链财务风险评估中的有效性,仿真结果表明,基于数值分析的供应链财务风险评估平台的风险评估准确率高达99%,所需时间比其他评估模型高17秒,验证了数值分析算法可以提高风险评估的准确性和快速性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Analysis of supply chain finance risk assessment based on numerical analysis algorithm
To promote the coordination and stability of supply chain finance and improve the financing environment of small and medium-sized enterprises, this paper designs a supply chain finance risk assessment and analysis platform. Combining the characteristics of a large amount of risk assessment data, a numerical analysis algorithm is introduced in the process of platform design, and the extrapolation method in the numerical analysis algorithm is used to calculate the risk assessment- related data. To make the calculation faster and the data more accurate, the central difference quotient extrapolation is used to accelerate and a downtime mechanism is introduced. Firstly, the approximation formula for the calculation is constructed, followed by the construction of a sequence of variable steps to obtain a sequence of approximations. Finally, the obtained approximate sequence values are used to construct an interpolating polynomial, and the constant term of the polynomial, which is the final risk factor, is obtained through continuous iteration. To verify the effectiveness of the numerical analysis-based algorithm in supply chain financial risk assessment, the simulation results show that the risk assessment accuracy of the numerical analysis-based supply chain financial risk assessment platform is as high as 99% and the time required is 17 seconds higher than other assessment models, which verifies that the numerical analysis algorithm can improve the accuracy and rapidity of risk assessment.
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来源期刊
3C Empresa
3C Empresa BUSINESS-
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12 weeks
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