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A hybrid decision-making approach to measure effectiveness of safety management system implementations on-board ships

机译:一种混合决策方法,用于评估船上安全管理系统实施的有效性

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摘要

Future of ship safety is recently a core topic discussed in various platforms by maritime stakeholders. Regarding this issue, it is so significant task to achieve maritime regulatory compliances with ship operational requirements to ensure safe operations on-board ships. For instance, it is one of the most recently amendments to evaluate safety management system (SMS) effectiveness. The maritime research in this context focuses on promoting a hybrid decision-making approach to measure effectiveness of safety management system implementations on-board ships. The approach incorporates Analytical Hierarchy Process (AHP) and Technique for Order Preference by Similarity to Ideal Solution (TOPSIS). It determines the key performance indicators (KPIs) with tangible/intangible data in decision analysis which enhance shipboard safety conditions. The main findings highlight that number of detentions, crew injuries onboard ship, and major non-conformities are considered as assessment factors of ship SMS. The proposed approach enables to review the SMS practices systematically that is required by recent amendments of ISM Code. Thus, the proposed approach remedies the gap between safety science and maritime transportation industry in terms of adopting operational data in safety analysis. Consequently, the research outcomes encourage the maritime researchers, safety engineers and ship operators.
机译:海上安全利益攸关方最近在各种平台上讨论了船舶安全的未来问题。关于此问题,实现海上法规与船舶运营要求的合规性以确保在船上安全运行是一项重大任务。例如,它是评估安全管理体系(SMS)有效性的最新修订之一。在这种情况下,海事研究的重点是促进一种混合决策方法,以衡量船上安全管理系统实施的有效性。该方法结合了层次分析法(AHP)和通过与理想解决方案(TOPSIS)相似性进行订单优先选择的技术。它通过决策分析中的有形/无形数据来确定关键绩效指标(KPI),以增强船上安全性。主要发现表明,扣留数量,船上人员受伤和重大不符合被视为船舶SMS的评估因素。提议的方法可以系统地审查ISM规则的最新修订所要求的SMS惯例。因此,在安全分析中采用操作数据方面,所提出的方法弥补了安全科学与海上运输业之间的差距。因此,研究成果鼓励了海事研究人员,安全工程师和船舶经营者。

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