上海大学学报(自然科学版) ›› 2022, Vol. 28 ›› Issue (6): 1008-1021.doi: 10.12066/j.issn.1007-2861.2333

• 研究论文 •    

基于FA-KM-GAHP,模型的授信供应商风险的群体共识评价

余思勤1(), 刘仲敏2   

  1. 1.上海海事大学 上海高级国际航运学院, 上海 201306
    2.上海海事大学 经济管理学院, 上海 201306
  • 收稿日期:2021-05-06 出版日期:2022-12-30 发布日期:2023-01-31
  • 通讯作者: 余思勤 E-mail:ysq@shmtu.edu.cn
  • 作者简介:余思勤(1956-), 男, 教授, 博士生导师,研究方向为交通运输经济与管理. E-mail: ysq@shmtu.edu.cn

Risk consensus assessment of credit suppliers based on the FA-KM-GAHP model

YU Siqin1(), Liu Zhongmin2   

  1. 1. Shanghai Advanced Institute of International Shipping, Shanghai Maritime University, Shanghai, 201306
    2. School of Economics and Management, Shanghai Maritime University, Shanghai, 201306
  • Received:2021-05-06 Online:2022-12-30 Published:2023-01-31
  • Contact: YU Siqin E-mail:ysq@shmtu.edu.cn

摘要:

结合因子分析(factor analysis, FA)、K-均值(K-means, KM)及群体多层次分析(group analytic hierarchy process, GAHP)构建FA-KM-GAHP模型, 并对授信供应商风险进行群体共识一致性评价. 实证研究显示: 速动比率、产品价格的稳定性、产品质量问题与投诉的指标权重值分别是28.12%、 15.85%及45.79%; 授信供应商$D_2$优于其他授信供应商13.82%~57.36%. 基于此, 提出了评估和选择 授信供应商的 建议, 例如搭建联盟型区块链风险评价的共享平台等应对措施.

关键词: 供应链金融, 群体多层次分析法, 因子分析, 群体共识, 风险评价

Abstract:

This paper combines factor analysis (FA) theory, the K-means (KM) model, and the group analytic hierarchy process (GAHP) to construct the FA-KM-GAHP models to investigate the group consensus assessment of credit suppliers. The results show that quick ratio, stability of product price, and product quality and complaints account for 28.12%, 15.85%, and 45.79% of the attributes' weight value, respectively. Credit supplier $D_2$ is superior to other suppliers by 13.82% to 57.36%. Based on these findings, suggestions for assessing and choosing credit suppliers are proposed, such as sharing the platform construction of risk consensus assessment using consortium blockchain technology.

Key words: supply chain finance, group analytic hierarchy process (GAHP), factor analysis (FA), group consensus, risk assessment

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