Title: Dynamic risk based domino effect analysis
Speaker: Dr. Faisal Khan, Memorial University of Newfoundland
Venue (online meeting): Tencent Meeting (Room Number:780 263 972)
Time: October 15, Thursday, 9:00-11:00
Complex engineering symptoms of hazards such as operational deviations, miss-haps, near misses, and incidents are the most important information. The advanced approach of dynamic risk management helps us use accident precursor information systematically to have better learning, prediction, and decision-making. It helps to analyze the domino effect both in the design and operation phases of the project.
This talk will present a recently developed approach to dynamic risk management for a domino effect analysis perspective. This approach utilizes advanced probability theory and system condition monitoring, accident precursor information, and accident causation modelling. The model is dynamic; updating is done using the Bayesian updating mechanism as new evidence/information becomes available. The predictive abilities of the model help to make the risk-based operational decision in evolving domino scenarios. Benchmarking and applications of the approach will be also be discussed.
Announced by the School of Mechanical and Automotive Engineering