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HFACS model based data mining of human factors-a marine study

机译:基于HFACS模型的人为因素数据挖掘-海洋研究

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It is well known that human error is the key contributor in most marine accidents. Nevertheless, human error is not the cause of accidents or mishaps in the new view on human errors; it is the deeper trouble of the MMEM (Man-Machine-Environment-Management) system. The key point for human error analysis is to find out the connection between human error and the features of system elements, that is the contexts of human error (Operating environment, Organization influence, etc). For this reason, this paper shows an approach for mining the human factors data which influence the occurrence of human error. This approach bases on the data collected on HFACS (Human Factor Analysis and Classification System) Model. It can be used for analysis of human factors and risk management of marine industry.
机译:众所周知,人为错误是大多数海洋事故的关键因素。然而,在人为错误的新观点中,人为错误不是事故或不幸的原因;这是MMEM(人机环境管理)系统的更深层麻烦。人为错误分析的关键是找出人为错误与系统元素特征之间的联系,即人为错误的上下文(操作环境,组织影响等)。因此,本文介绍了一种挖掘人为因素数据的方法,这些数据会影响人为错误的发生。该方法基于在HFACS(人为因素分析和分类系统)模型上收集的数据。它可以用于分析人为因素和海洋工业的风险管理。

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