In the maritime industry, most perceptions, frameworks and methodologies of dealing with hazards are for their risk assessment rather than their risk management. This tendency discloses the reality that within the maritime sectors in areas like shipping, logistics, oil and gas there is a lack of coherent Quantitative Risk Management (QRM) methodology from which to understand the risk-based decisions especially for appropriate risk management such as in seaports’ terminals. Therefore, in this paper initially, during priority assessment of the identified hazards, Fuzzy Set Theory was applied to handle imprecision of the uncertain risk-based statistics to get an accurate result. In the next stage, Fuzzy Fault Tree and Fuzzy Event Tree methods were used to achieve the sequence of quantitative risk analysis. In the final step, a Fuzzy Technique for Order of Preference by Similarity to Ideal Solution tool was used for the implementation of the mitigation phase to complete and conclude the proposed QRM cycle.

Abstract
1. An overview of Risk Management (RM) in marine and offshore
2. A proposed QRM methodology
    2.1. Hazard identification phase
    2.2. Risk assessment phase
    2.3. Risk mitigation phase
3. Case study
4. Conclusion and further suggestions

• Kambiz Mokhtari(Dept. of Maritime Studies, International Maritime College Oman)
• Mehrdad Behforouzi(Dept. of Maritime Studies, International Maritime College Oman) Corresponding Author
• Kawkab Abdul Aziz Mohammed Al Balush(Dept. of Maritime Studies, International Maritime College Oman)
• Hamidreza Soltani(Dept. of Maritime Studies, International Maritime College Oman)
• Norhan Ibrahim(Dept. of Maritime Studies, International Maritime College Oman)