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石油工业事故分析方法的有效性和一致性评估。

Validity and consistency assessment of accident analysis methods in the petroleum industry.

机构信息

a Faculty of Medical Sciences , Tarbiat Modares University , Iran.

b School of Health , Shiraz University of Medical Sciences , Iran.

出版信息

Int J Occup Saf Ergon. 2019 Sep;25(3):355-361. doi: 10.1080/10803548.2017.1387400. Epub 2017 Nov 17.

Abstract

. Accident analysis is the main aspect of accident investigation. It includes the method of connecting different causes in a procedural way. Therefore, it is important to use valid and reliable methods for the investigation of different causal factors of accidents, especially the noteworthy ones. . This study aimed to prominently assess the accuracy (sensitivity index []) and consistency of the six most commonly used accident analysis methods in the petroleum industry. . In order to evaluate the methods of accident analysis, two real case studies (process safety and personal accident) from the petroleum industry were analyzed by 10 assessors. The accuracy and consistency of these methods were then evaluated. The assessors were trained in the workshop of accident analysis methods. . The systematic cause analysis technique and bowtie methods gained the greatest scores for both personal and process safety accidents, respectively. The best average results of the consistency in a single method (based on 10 independent assessors) were in the region of 70%. . This study confirmed that the application of methods with pre-defined causes and a logic tree could enhance the sensitivity and consistency of accident analysis.

摘要

事故分析是事故调查的主要方面。它包括以程序性方式连接不同原因的方法。因此,对于调查事故的不同因果因素,特别是值得注意的因素,使用有效和可靠的方法非常重要。

本研究旨在显著评估石油工业中最常用的六种事故分析方法的准确性(敏感性指数 [])和一致性。

为了评估事故分析方法,由 10 名评估员对来自石油工业的两个实际案例研究(过程安全和个人事故)进行了分析。然后评估了这些方法的准确性和一致性。评估员在事故分析方法研讨会上接受了培训。

系统原因分析技术和蝴蝶结方法分别在个人和过程安全事故中获得了最高分数。基于 10 名独立评估员的单一方法的最佳平均一致性结果在 70%左右。

本研究证实,应用具有预定义原因和逻辑树的方法可以提高事故分析的敏感性和一致性。

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