Marine Pilot’s Reliability Index (MPRI): Evaluation of marine pilot reliability in uncertain environments

A. Atiyah, Christos A. Kontovas, F. Saeed, Zaili Yang
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引用次数: 1

Abstract

This paper proposes a hybrid human reliability analysis model, comprised of qualitative and quantitative approaches, to measure the pilot performance for accident prevention in ports. The first part of this research is a qualitative investigation aimed at developing marine pilot reliability indexes (MPRIs) by conducting field observation, semi-structured focus-group interviews, and accident data analysis at ports. The results from the first part aid the identification of the key players involved in pilotage operations and the main factors influencing pilot reliability. To examine the impact of the identified factors in shaping pilot reliability, the Delphi approach is used in the second part of the study. The Delphi approach allows for the development of a MPRI agreed upon by experts. In the third part, an Analytical Hierarchy Process (AHP) is used to rank the importance of each identified MPRI. It is followed by an empirical assessment of the reliability of a marine pilot under uncertainty using Fuzzy Evidential Reasoning (FER). Three senior marine pilots in one of the major marine ports in the Middle East region are assessed using the developed MPRI model. The results reveal the novelty of this assessment tool in offering an effective and flexible reliability assessment and diagnostic instrument for decision makers to predict the reduction of pilot reliability.
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船舶引航员可靠性指数(MPRI):不确定环境下船舶引航员可靠性的评价
本文提出了一个由定性和定量方法组成的混合人的可靠性分析模型,以衡量港口事故预防试点的绩效。本研究的第一部分是一项定性调查,旨在通过实地观察、半结构化焦点小组访谈和港口事故数据分析来开发海上飞行员可靠性指数(mpri)。第一部分的结果有助于识别引航操作中涉及的关键参与者和影响引航可靠性的主要因素。为了检验确定的因素对塑造飞行员可靠性的影响,在研究的第二部分使用了德尔菲法。德尔菲方法允许专家商定的MPRI的发展。在第三部分中,采用层次分析法(AHP)对每个确定的MPRI的重要性进行排序。其次,利用模糊证据推理(FER)对不确定条件下船舶驾驶员的可靠性进行了实证评估。利用开发的MPRI模型对中东地区一个主要海洋港口的三名高级海军飞行员进行了评估。结果表明,该评估工具为决策者预测飞行员可靠性下降提供了一种有效、灵活的可靠性评估和诊断工具。
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