Supply Chain Risk Evaluation Model in Fuzzy Environment

LISS 2012 ◽  
2013 ◽  
pp. 1305-1311
Author(s):  
Ruijiang Wang ◽  
Xiaoxia Zhu ◽  
Fachao Li
2013 ◽  
Vol 680 ◽  
pp. 550-553
Author(s):  
Bo Chao Liu

The evaluation for supply chain risk is very important to show the latent risk and eliminate the risk. In the study, Bayesian network is proposed to evaluate the supply chain risk. The assessment indexes of supply chain risk are analyzed before supply chain risk assessment. Then, the assessment indexes of supply chain risk can be used to construct the supply chain risk assessment model. We apply a certain logistics company to study the evaluation ability of Bayesian network evaluation model proposed here. The experimental results prove the effectiveness of the proposed model.


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