Formation of Dataset for Fuzzy Quantitative Risk Assessment of LNG Bunkering SIMOPs

New international regulations aimed at decarbonizing maritime transportation are positively contributing to attention being paid the use of liquefied natural gas (LNG) as a ship fuel. Scaling up LNG-fueled ships is highly dependent on safe bunkering operations, particularly during simultaneous operations (SIMOPs); therefore, performing quantitative risk assessment (QRA) either mandated or recommended, and dynamic (DQRA) has been developed make for deficiencies traditional QRA. The QRA DQRA both data-driven processes, so far, data occurrence rates (ORs) basic events (BEs) in LNG SIMOPs unavailable. To fill this gap, study identified total 41 BEs employed online questionnaire method, fuzzy set theory, Onisawa function investigation ORs BEs. Purposive sampling was applied when selecting experts process collection. closed-ended structured garnered responses from 137 industry academia. questionnaire, raw obtained ORs, analysis presented descriptor. can be used directly QRAs DQRAs. This dataset first its kind could expanded further research field bunkering.