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中国管理科学 ›› 2007, Vol. 15 ›› Issue (3): 85-92.

• 论文 • 上一篇    下一篇

基于供应链的企业信贷风险评估研究

于瑞峰1, 任艳敏1, 王雨2, 刘丽文3   

  1. 1. 清华大学工业工程系 北京100084;
    2. 中国进出口银行 北京100009;
    3. 清华大学经济管理学院 北京100084
  • 收稿日期:2006-02-21 修回日期:2007-04-11 出版日期:2007-06-30 发布日期:2007-06-30
  • 作者简介:于瑞峰(1970- ),男(汉族),天津人,清华大学工业工程系副教授,管理学博士,研究方向:管理科学与工程.
  • 基金资助:

    国家自然科学基金资助项目(7053200470372005)

Research on Risk Assessment of Corporate Credit Based on Supply Chain

YU Rui-feng1, REN Yan-min1, WANG Yu2, LIU Li-wen3   

  1. 1. Department of Industrial Engineering, Tsinghua University, Beijing 100084, China;
    2. Export-Import Bank of China, Beijing 100009, China;
    3. School of Economics and Management, Tsinghua University, Beijing 100084, China
  • Received:2006-02-21 Revised:2007-04-11 Online:2007-06-30 Published:2007-06-30

摘要: 提出了基于供应链的企业信贷风险评估指标体系,全面地评估贷款申请企业的偿贷能力,克服了当前企业信贷风险评估中存在的只对申贷企业孤立评判的不足.应用BP神经网络,基于新提出的企业信贷风险评估指标体系,开发了风险评估的数学模型.算例研究的结果表明,该模型具有良好的可操作性,能对企业贷款申请进行有效、精确地评估.

关键词: 信贷风险评估, 供应链, 神经网络

Abstract: A new index system for evaluating the corporate credit risk is presented,which can comprehen sively evaluate t he corporate's ability of refunding bank's money.It gets rid of the shortcoming of only in sularly evaluating the specific corporate applying for the loan in the present research.Applying the method of BP Neural Net works,the new quantitative evaluation model on risk assessment o f corporate credit is de veloped.The results of examples show that the proposed model is feasible and accurate for dealing with the risk assessment of corporate credit.

Key words: credit risk assessment, supply chain, neural network

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