Article
Advanced uncertainty modelling for container port risk analysis
Globalization has led to a rapid increase of container movements in seaports. Risks in seaports need tobe appropriately addressed to ensure economic wealth, operational efficiency, and personnel safety. Asa result, the safety performance of a Container Terminal Operational System (CTOS) plays a growing rolein improving the efficiency of international trade. This paper proposes a novel method to facilitate theapplication of Failure Mode and Effects Analysis (FMEA) in assessing the safety performance of CTOS.The new approach is developed through incorporating a Fuzzy Rule-Based Bayesian Network (FRBN)with Evidential Reasoning (ER) in a complementary manner. The former provides a realistic and flexiblemethod to describe input failure information for risk estimates of individual hazardous events (HEs) at thebottom level of a risk analysis hierarchy. The latter is used to aggregate HEs safety estimates collectively,allowing dynamic risk-based decision support in CTOS from a systematic perspective. The novel featureof the proposed method, compared to those in traditional port risk analysis lies in a dynamic modelcapable of dealing with continually changing operational conditions in ports. More importantly, a newsensitivity analysis method is developed and carried out to rank the HEs by taking into account theirspecific risk estimations (locally) and their Risk Influence (RI) to a port’s safety system (globally). Due toits generality, the new approach can be tailored for a wide range of applications in different safety andreliability engineering and management systems, particularly when real time risk ranking is required tomeasure, predict, and improve the associated system safety performance.
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