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دسته بندی:
زنجیره تامین - supply chain
سال انتشار:
2017
عنوان انگلیسی مقاله:
An approach to evaluating the spontaneous and contagious credit risk for supply chain enterprises based on fuzzy preference relations
ترجمه فارسی عنوان مقاله:
یک رویکرد به ارزیابی ریسک اعتباری خودآموز و مسری برای شرکتهای زنجیره تامین براساس روابط ترجیحی فازی
منبع:
Sciencedirect - Elsevier - Computers & Industrial Engineering 2017 , Accepted manuscript. doi:10.1016/j.cie.2017.02.012
نویسنده:
Jing Gu, Xiongxing Xia, Yue He, Zeshui Xu
چکیده انگلیسی:
Measuring credit risk for supply chain enterprises is a critical issue for credit agencies and it
becomes more complicated thanks to interrelated transactions among enterprises across the supply
chain. Firstly, we put forward a basic model for assessing supply chain enterprise credit risk by
splitting overall credit risk into spontaneous and contagious credit risk. Secondly, after constructing
an evaluation indicator system for supply chain enterprises, we determine spontaneous credit risk by
employing fuzzy preference relations. Thirdly, we establish a risk numerical matrix to measure
contagious credit risk based on spontaneous credit risk and analyze its cumulative effect using a
matrix analysis. Finally, a real-world case study is presented to illustrate how the proposed model
can be applied to assess supply chain enterprise credit risk.
Keywords: credit risk | contagious effect | fuzzy preference relation | matrix analysis | supply chain enterprise
قیمت: رایگان
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