Risk Assessment by Integrating Interpretive Structural Modeling and Bayesian Network - case of offshore pipeline
Engineering construction in coastal areas or marine energy development relies heavily on robust maritime engineering technology. Facing the dynamic and ever-changing marine environment, a construction project's success involves issues related to proven engineering technology and risk management. Expert experience and knowledge often play an essential role in reducing engineering risks. Therefore, when lacking data of case history and experienced personnel, or when there is only qualitative experiential information, establishing a clear structure of engineering risk factors and quantifying and managing these factors becomes a significant challenge.
Thus, this study integrates Interpretive Structural Modeling (ISM) and Bayesian network (BN) for risk assessment. This approach helps identify crucial risk factors throughout a construction project. The results can serve as an essential reference for educating and training engineering personnel before project planning, such that the probability of failure in an offshore pipeline project can be reduced. The result of the study has been published in a Q1 international journal.
Reference:
W-S. Wu, C-F. Yang, J-C. Chang, P-A. Chateau, Y-C Chang, 2015. Risk assessment by integrating interpretive structural modeling and Bayesian network, case of offshore pipeline project. Reliability Engineering and System Safety, 142, pp. 515-524.
