Study on SMEs Credit Risk Assessment in the Mode of Supply Chain Finance ——Based on Left and Right Scores Fuzzy TOPSIS

doi:10.12005/orms.2015.0029

Operations Research and Management Science ›› 2015, Vol. 24 ›› Issue (1): 209-215.DOI: 10.12005/orms.2015.0029

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Study on SMEs Credit Risk Assessment in the Mode of Supply Chain Finance ——Based on Left and Right Scores Fuzzy TOPSIS

ZHOU Wen-kun¹, WANG Cheng-fu²

1.School of Management, Shanghai University, Shanghai 200444, China;
2.School of Management, Anhui Science and Technology University, Fengyang 233100, China

Received:2013-06-21 Online:2015-02-12

供应链融资模式下中小企业信用风险评估研究——基于左右得分的模糊TOPSIS算法

周文坤¹, 王成付²

1.上海大学管理学院,上海 200444;
2.安徽科技学院管理学院,安徽凤阳 233100

作者简介:李正义,男,博士研究生,研究方向:物流与供应链管理;仲伟俊,男,教授,博导,研究方向:科技与创新管理,信息管理与信息系统,供应链管理,电子商务与电子政务。
基金资助:
国家自然科学基金项目(71071033)

Abstract

Abstract: SME credit risk assessment is the key to executing supply chain financing. On the basis of the summary of conducted research, this paper builds a relatively complete set of risk evaluation index system. Moreover, we use DEA, AHP and fuzzy TOPSIS based on the left and right scores to evaluate the credit risk of SMEs in the supply chain financing. Finally, the method is applied to an example, and the results suggest that Synthetic application of AHP and fuzzy TOPSIS based on the left and right scores in multi-level evaluation index problem is available and reasonable and can provide basis for decision making of supply chain financing credit risk assessment.

Key words: supply chain finance, credit risks, fuzzy TOPSIS, SME

摘要： 中小企业信用风险评价是供应链融资实现的关键。本文在对已进行的研究总结的基础上,建立了一套比较完整的评价指标体系,然后运用DEA、AHP和基于左右得分的模糊TOPSIS相结合的评价方法对中小企业在供应链融资中的信用风险进行评价。最后,将方法成功应用到具体实例,结果表明将AHP方法和左右得分模糊TOPSIS结合应用到多层次指标评价问题是合理、可行的,能够为供应链融资信用风险评估提供决策依据。

关键词: 供应链融资, 信用风险, 模糊TOPSIS, 中小企业

CLC Number:

F832.4

ZHOU Wen-kun, WANG Cheng-fu. Study on SMEs Credit Risk Assessment in the Mode of Supply Chain Finance ——Based on Left and Right Scores Fuzzy TOPSIS[J]. Operations Research and Management Science, 2015, 24(1): 209-215.

周文坤, 王成付. 供应链融资模式下中小企业信用风险评估研究——基于左右得分的模糊TOPSIS算法[J]. 运筹与管理, 2015, 24(1): 209-215.

References

[1] 陈祥峰,石代伦,朱道立.金融供应链与融通仓服务[J].物流技术,2006,(3):93-95.
[2] 李彤,何飏杉.深发行:供应链金融[J].商界论坛,2007,(10): 60-63.
[3] 叶蜀君.信用风险的博弈分析与度量模型[M].北京:中国经济出版社,2008.
[4] Hofmann Erik. Inventory financing in supply chains A logistics services provider approach[J]. International Journal of Physical distribution & Logistics Management, 2009, 39(9-10): 716-740.
[5] Gomm M L. Supply chain finance: applying finance theory to supply chain management to enhance finance in supply chains[J]. International Journal of Logistics-Research and Application, 2010, 13(2): 133-142.
[6] 闫俊宏.供应链金融融资模式及其信用风险管理研究[D].西安:西北工业大学,2007.
[7] 白少布.面向供应链融资企业信用风险评估指标体系的设计[J].经济经纬,2009,(6):90-94.
[8] 熊熊,马佳,赵文杰.供应链金融模式下信用风险评价[J].南开管理评论,2009,(4):92-98.
[9] 王琪.基于决策树的供应链金融模式信用风险评估[J].新金融,2010,(4):38-41.
[10] 孔媛媛,王恒山,朱珂,李晟.模糊影响图评价算法在供应链金融信用风险评估中的应用[J].数学的实践与认识,2010,(21):80-86.
[11] 鲍旭红.供应链融资模式下中小企业信用风险评价研究[J].安徽科技学院学报,2011,(3):78-81.
[12] 盛巧玲,吴炎太.基于层次分析法的供应链存货质押融资风险模糊综合评价[J].科技管理研究,2012,(11):52-57.
[13] 唐万梅.基于灰色关联分析的多层次综合评价研究[J].系统工程理论与实践,2006,(6):25-29.
[14] 魏星,夏恩君,李全兴.风险投资项目决策中的风险综合评价[J].中国软科学,2004,(2):153-157.
[15] 周淑华.基于协调的供应链绩效评价指标体系研究[J].科技管理,2005,(2):38-41.
[16] 闫俊宏,许祥秦.基于供应链金融的中小企业融资模式分析[J].上海金融,2007,(2):14-16.
[17] Wang Y M, Elhag T M S. Fuzzy TOPSIS method based on alpha level sets with an application on bridge risk assessment[J]. Expert Systems with Aplications, 2006, 31(2): 309-319.
[18] Wang Jiawen, Cheng C H. Fuzzy hierarchical TOPSIS for supplier selection[J]. Applied Soft computing, 2009, 9(1): 377-386.
[19] Wei Guiwu, lin Rui, Zhao Xiaofei. TOPSIS-based linear-programming methodology for multiple attribute decision making with incomplete weight information in intuitionistic fuzzy setting[J]. Information-an international interdisciplinary journal, 2010, 13(5): 1721-1726.

Study on SMEs Credit Risk Assessment in the Mode of Supply Chain Finance ——Based on Left and Right Scores Fuzzy TOPSIS

供应链融资模式下中小企业信用风险评估研究——基于左右得分的模糊TOPSIS算法

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