Supply Chain Risk Evaluation Model in Fuzzy Environment

Ruijiang Wang (), Xiaoxia Zhu () and Fachao Li ()
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Ruijiang Wang: Tsinghua University
Xiaoxia Zhu: Hebei University of Science and Technology
Fachao Li: Hebei University of Science and Technology

A chapter in LISS 2012, 2013, pp 1305-1311 from Springer

Abstract: Abstract In this paper, we analyzed the classification of supply chain risk (SCR), and put forward its index systems on the basis of its many results. According to its characteristics, we established the general assessment model of SCR in fuzzy environment. Then, we proposed its improved model by the fuzzy information measurement system with the interpretation and synthetic effect. Finally, we specified numerical example to analyze the model, the results indicate that the method is not only accommodates the existing fuzzy decision-making methods, but also successfully incorporates the decision preference into the optimization process. Therefore, the fuzzy analysis technique can be widely used in many fields of fuzzy risk assessment.

Keywords: Supply chain risk; Evaluation index system; Evaluation model; Fuzzy number; Synthetic effect (search for similar items in EconPapers)
Date: 2013
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Persistent link: https://EconPapers.repec.org/RePEc:spr:sprchp:978-3-642-32054-5_185

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DOI: 10.1007/978-3-642-32054-5_185

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