scholarly journals Application Development Risk Assessment Model Based on Bayesian Network

Author(s):  
Jaka Sembiring ◽  
Johan P. Sipayung ◽  
Arry A. Arman
2015 ◽  
Author(s):  
Takeshi Shinoda ◽  
Koji Uru

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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