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SULAIMAN et al.


involves risk identification which requires developing a structure for understanding the manner in which accidents, their initiating events and their consequences occur. This includes assessment of representative system and all linkages that are associated to the system functionality and regulatory impact.


5.2 Models The challenges of risk and reliability meth-


od for complex and dynamic systems like ship motion at sea require reliable risk models. Risk mitigation measures can be tested and the trade off between different measures or combinations of measures can be evaluated. Changes in the levels of risk in the system can be assessed under different scenarios and incorporating “what if” analyses in different risk mitigation measures. Performance trend


analysis, reassessment of machinery, equip- ment, and personnel can be helpful in as- sessing the utility of different risk reduction measures. Figures 4 and 5 show the risk com- ponents, system functionality and regulatory requirement for reliability model that can be followed for each risk scenario.


5.3 Processes


The process should be developed to provide effective and sound risk analysis where ac- curacy, balance information that meets high scientific standards of measurement can be used as input. This requires getting the science right and getting the right science by target- ing interests of stakeholders including port, waterway community, public officials, regula- tors and scientists. Transparency, community participation is additional input to the risk


FIGURE 4 Risk model.


Journal of Marine Environmental Engineering


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