Supply Chain Risk Evaluation Based on Bayesian Network

2013 ◽  
Vol 680 ◽  
pp. 550-553
Author(s):  
Bo Chao Liu
Keyword(s):  
Risk Assessment ◽  
Supply Chain ◽  
Bayesian Network ◽  
Risk Evaluation ◽  
Evaluation Model ◽  
Assessment Model ◽  
Risk Assessment Model ◽  
Supply Chain Risk ◽  
Logistics Company ◽  
Proposed Model

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.

Evaluation of Electronic Products OEM Industry Supply Chain Risk Based on Fuzzy Influence Diagram

2013 ◽  
Vol 380-384 ◽  
pp. 4740-4744
Author(s):  
Xiao Feng Zhou ◽  
Hong Lv ◽  
Shi Wei Xu
Keyword(s):  
Risk Assessment ◽  
Supply Chain ◽  
Model Evaluation ◽  
Assessment Model ◽  
Influence Diagram ◽  
Risk Assessment Model ◽  
Supply Chain Risk ◽  
Diagram Method ◽  
Electronic Products

The method of fuzzy influence diagram is a very effective way when assessing the supply chain risk of electronic products foundries. Firstly, this paper puts forward a idea that using the fuzzy influence diagram method to assess the supply chain risk of electronic products OEM industry. Then construct a supply chain risk assessment model of electronic products OEM industry which is based on fuzzy influence diagram. Through the two points, we can determine how much the probability of risk events and the damage is. Except that, this paper also introduces the steps of model evaluation briefly.

Establishment of Risk Assessment Model for Ship Collision using Applied Bayesian Network -Collision Accidents between Fishing vessels and Cargo Vessels -

2015 ◽  
Author(s):  
Takeshi Shinoda ◽  
Koji Uru
Keyword(s):  
Risk Assessment ◽  
Bayesian Network ◽  
Cost Benefit Analysis ◽  
Cost Benefit ◽  
Assessment Model ◽  
Risk Assessment Model ◽  
Benefit Analysis ◽  
Fishing Vessels ◽  
Formal Safety Assessment ◽  
Trial Cost

In this study, a risk assessment model for ship collisions is proposed according to the guidelines for Formal Safety Assessment (FSA) approved by IMO in 2002. The analysis is applied to ship collisions between fishing and cargo vessels owing to their high frequency and enormous damage. Bayesian network theory for risk analysis has been applied to reveal a causal relationship on human factors. A trial evaluation of Risk Control Options (RCOs) for collisions is attempted through the calculation of the dominance index. Finally, a trial cost benefit analysis for RCOs is considered through Gross Cost of Averting Fatality (GCAF) in FSA.

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