作为海事部门关键过程的废钢货物操作的人为错误概率的一种基于瘦基的方法

IF 0.5 Q4 TRANSPORTATION
Gizem Kayisoglu, F. Bolat
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引用次数: 0

摘要

近年来,废钢货物在全球贸易中的运输量一直在增加。根据研究,在21世纪后期,废钢材料的需求将增加一倍以上,因此废钢产量的预测和废钢货物作业也将在港口均匀增加。废钢货运量的增加会带来一些不良事故和伤害。调查表明,这些与海运部门废钢货物作业有关的事件或事故的最主要原因是人为失误。在这个意义上,它的目的是确定人为错误概率(HEPs)的废钢货物操作频繁执行在海事部门,特别是在散货船。在本研究中,成功可能性指数法(SLIM)是人类可靠性分析(HRA)的方法之一,由于该主题的数据有限,因此用于确定废钢货物操作中的HEPs。因此,通过详细的文献综述确定的最常见的误差模式根据HEP值进行排序。提出了教育、监督、环境条件、设备和工具条件、经验等因素对误差模式的影响。根据分析结果,“在装卸废钢作业中,废钢落在甲板上”的发生概率最大。因此,总的来说,培训和经验因素对于防止废钢货物操作中的错误是至关重要的。另一方面,环境条件、监督、设备工具条件等因素的显著性水平显著,降低了某些特定误差产生的概率。因此,所提出的方法不仅对海事文献做出了理论贡献,而且对包括保赔协会、航运公司和船级社在内的行业为最大限度地减少废钢货物作业事故的焦点做出了积极贡献。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A slim based approach for human error probability of steel scrap cargo operations as a critical process in the maritime sector
The transportation of steel scrap cargoes in global trade has been increasing over the years. According to the researches, the demand of steel scrap materials will be more than double in the late 21st century whereby forecasting of steel scrap production and so steel scrap cargo operations will also evenly rise in ports. Increasing steel scrap cargo operations will bring along several undesirable accidents and injuries. Investigations show that the most paramount reason for these incidents or accidents related with steel scrap cargo operations in maritime sector is human error. In this sense, it is aimed to identify human error probabilities (HEPs) for steel scrap cargo operation that is performed frequently in maritime sector, especially in bulk carrier vessels. In this study, Success Likelihood Index Method (SLIM), which is one of the methods for Human Reliability Analysis (HRA), is used to determine HEPs in steel scrap cargo operations due to the limited data availability on this topic. Accordingly, the most common error modes that are determined via detailed literature review are ranked in accordance with HEP values. It is put forward which and how much error mode is affected from Performance Shaping Factor (PSF) such as education, supervision, environmental condition, equipment and tool condition, and experience mostly. According to the analysis results, “the falling piece of steel scrap on the deck during steel scrap loading or unloading operation” has the most probability occurrence. Consequently, it is understood that training and experience factors are critically important for preventing errors in steel scrap cargo operation in overall view. On the other hand, environmental condition, supervision, and equipment and tool condition factors include the prominent level of significance to bring down the probability of accruing of some specific errors. Accordingly, the proposed approach not only make a theory-based contribution to the maritime literature, but also to active contribution to the sector involving P&I Clubs, shipping companies, and classification societies toward focusing point for minimizing the accidents about steel scrap cargo operations.
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来源期刊
CiteScore
1.50
自引率
0.00%
发文量
19
审稿时长
8 weeks
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