A quantitative effectiveness analysis to improve the safety management system (SMS) implementation on-board ship

Uflaz, Esma; Akyüz, Emre; Arslan, Özcan; Çelik, Erkan

doi:10.1016/j.ssci.2022.105913

Cited by 8 publications

(1 citation statement)

References 41 publications

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“…Kostas J. et al [9] proposed a risk model for evaluating fire safety in the design phase of passenger ships, which was designed to enhance the probabilistic nature of performance-based ship fire evaluation. Safety management systems (SMS) are applied to ship management as a way to improve the risk management level of ships [10]. U. Bhardwaj [11] proposed a Bayesian network probability framework to quantify the fire and explosion events in floating production, storage, and unloading units (FPSOs).…”

Section: Introductionmentioning

confidence: 99%

Comprehensive Evaluation of Marine Ship Fires Risk Based on Fuzzy Broad Learning System

Zhang

Liu

et al. 2023

JMSE

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Ship fires exhibit the main characteristics of a high possibility of occurrence, large load, fast spreading, high difficulty in extinguishing, and serious losses. Therefore, once a fire occurs, it will cause huge loss in terms of economic and personnel safety. Firstly, a ship fire risk evaluation indicator system was constructed based on the causes and severity of the fires. Secondly, a comprehensive evaluation method for the fuzzy broad learning system (FBLS) was proposed. The fuzzy system was used to implement feature mapping on the input data, and the extracted fuzzy features were further input into the BLS enhancement layer. A fuzzy broad learning neural network structure was constructed by combining fuzzy features, feature nodes, and enhancement nodes. The method was applied to the field of risk assessment for the first time, and is a reference for subsequent studies. Finally, the risk levels of ship fires were classified and compared with evaluation methods such as fuzzy support vector machine (FSVM) and Fuzzy BP neural network (FBPNN) to demonstrate effectiveness and accuracy. The proposed FBLS method was used to predict actual cases, and the results showed consistency with the level determined by the accident investigation report published by the Maritime Bureau Administration.

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Section: Introductionmentioning

confidence: 99%