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The role of human factor in maritime environment risk assessment: A practical application on Ballast Water Treatment (BWT) system in ship

机译:人为因素在海洋环境风险评估中的作用:在船舶压载水处理系统中的实际应用

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摘要

The role of human factor plays a critical role in the safe and clean operation of maritime industry. Human error prediction can be beneficial to assess risk in maritime industry since shipping activities can pose potential hazards to human life and maritime ecology. The aim of this paper is to propose a risk assessment tool by considering the role of human factor. Hence, the desired safety control level in maritime transportation activities can be ascertained. In the proposed approach, a Success Likelihood Index Method (SLIM) extended with fuzzy logic is used to calculate human error probability (HEP). Severity of consequences are adopted in the proposed approach to assess risk. The quantitative risk assessment approach under fuzzy SLIM methodology will be applied to a very specific case on-board ship: Ballast Water Treatment (BWT) system. In order to improve consistency of research and minimize subjectivity of experts' judgments, the paper adopts the dominance factor which is used to adjust the impact level of experts' judgments in the aggregation stage of the methodology. The paper aims at not only highlighting the importance of human factor in maritime risk assessment but also enhancing safety control level and minimizing potential environmental impacts to marine ecology.
机译:人为因素的作用在海上工业的安全清洁运营中起着至关重要的作用。人为错误的预测可能有助于评估海运行业的风险,因为航运活动可能对人类生命和海洋生态造成潜在危害。本文的目的是通过考虑人为因素的作用来提出一种风险评估工具。因此,可以确定海上运输活动中期望的安全控制水平。在所提出的方法中,使用扩展了模糊逻辑的成功可能性指数方法(SLIM)来计算人为错误概率(HEP)。建议的评估风险的方法采用后果严重性。模糊SLIM方法下的定量风险评估方法将应用于船上非常特殊的情况:压载水处理(BWT)系统。为了提高研究的一致性并最大程度地减少专家判断的主观性,本文采用优势因子,用于在方法的汇总阶段调整专家判断的影响力水平。本文不仅旨在突出人为因素在海上风险评估中的重要性,而且还旨在提高安全控制水平并最大程度地减少对海洋生态的潜在环境影响。

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