A quantitative risk analysis model with integrated deliberative Delphi platform for container shipping operational risks

2019 ◽  
Vol 129 ◽  
pp. 203-227 ◽  
Author(s):  
Son Nguyen ◽  
Peggy Shu-Ling Chen ◽  
Yuquan Du ◽  
Wenming Shi
Keyword(s):  
Risk Analysis ◽  
Container Shipping ◽  
Analysis Model ◽  
Quantitative Risk Analysis ◽  
Operational Risks

scholarly journals Quantitative Risk Analysis of Offshore Fire and Explosion Based on the Analysis of Human and Organizational Factors

2015 ◽  
Vol 2015 ◽  
pp. 1-10 ◽  
Author(s):  
Yan Fu Wang ◽  
Yu Lian Li ◽  
Biao Zhang ◽  
Pei Na Yan ◽  
Li Zhang
Keyword(s):  
Risk Analysis ◽  
Organizational Factors ◽  
Event Tree ◽  
Analysis Framework ◽  
Analysis Model ◽  
Quantitative Risk Analysis ◽  
Dynamic Risk ◽  
Fire And Explosion ◽  
Human And Organizational Factors ◽  
Explosion Risk

A dynamic risk analysis model of offshore fire and explosion is proposed in this paper. It considers the effect of human and organizational factors in a more explicit way than current traditional risk analysis methods. This paper begins with exploring the recent advances on offshore fire and explosion risk analysis theories, followed by briefly introducing the research techniques employed in the proposed hybrid causal logic model which consists of event tree, fault tree, Bayesian network, and system dynamics. Thereafter, it proposes a quantitative risk analysis framework. At last, the applicability of this model to the offshore platform is also discussed. It aims to provide guideline for risk analysis of offshore fire and explosion.

A Quantitative Risk Analysis Model of Scenarios Characterised by Explosion Fragments and Missiles

2004 ◽  
pp. 2944-2949
Author(s):  
Giuseppe Maschio ◽  
Domenica Cambria ◽  
Roberto Lisi ◽  
Maria Francesca Milazzo
Keyword(s):  
Risk Analysis ◽  
Analysis Model ◽  
Quantitative Risk Analysis

A quantitative risk analysis model considering uncertain information

2018 ◽  
Vol 118 ◽  
pp. 361-370 ◽  
Author(s):  
Rui He ◽  
Xinhong Li ◽  
Guoming Chen ◽  
Yanchun Wang ◽  
Shengyu Jiang ◽  
...  
Keyword(s):  
Risk Analysis ◽  
Uncertain Information ◽  
Analysis Model ◽  
Quantitative Risk Analysis

A quantitative risk analysis model for cascade reservoirs overtopping: principle and application

2020 ◽  
Vol 104 (1) ◽  
pp. 249-277
Author(s):  
Xingbo Zhou ◽  
Zuyu Chen ◽  
Jianping Zhou ◽  
Xinlei Guo ◽  
Xiaohu Du ◽  
...  
Keyword(s):  
Risk Analysis ◽  
Analysis Model ◽  
Cascade Reservoirs ◽  
Quantitative Risk Analysis

Prioritization of critical risk influencing factors in quantitative risk analyses for offshore petroleum installations

2020 ◽  
pp. 1748006X2094336
Author(s):  
Xingwei Zhen ◽  
Jan Erik Vinnem
Keyword(s):  
Risk Analysis ◽  
Influencing Factors ◽  
Influencing Factor ◽  
Pairwise Comparison ◽  
Organizational Factors ◽  
Sensitivity Study ◽  
Analysis Model ◽  
Analytic Hierarchy ◽  
Quantitative Risk Analysis ◽  
The Status

Comprehensive and detailed investigations of various major offshore accidents have shown that multifarious risk influencing factors including technical, human, and organizational factors have a significant impact on the nonlinear accident sequences. Parallel efforts are being made to develop quantitative risk analysis models involving risk influencing factors. It is recognized that in order to keep quantitative risk analyses in a manageable size, it is essential to restrict the number of risk influencing factors for each failure event. This article describes an effort to prioritize critical risk influencing factors for offshore maintenance work. A prioritization index integrating the weight and the status of each risk influencing factor is developed to determine the most appropriate prioritization. A hierarchy tree is developed to structure the identified risk influencing factors. The unified fuzzy scoring criterion is established for evaluating the risk influencing factors status. The fuzzy analytic hierarchy process approach stressing the consistency of the fuzzy pairwise comparison is applied to evaluate the priority of each risk influencing factor. A sensitivity study is conducted to investigate the criticality of risk influencing factors. The case study demonstrates that the proposed method can be a practical tool for prioritizing critical risk influencing factors effectively for all failure events in the quantitative risk analysis model. The method can also be useful in handling uncertainties arising in quantitative risk analyses.

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