Alexander Tiffaney Miller
NASA/Kennedy Space Center, John F. Kennedy Space Center, FL 32899, United States.
J Space Saf Eng. 2019 Mar;6(1):53-59. doi: 10.1016/j.jsse.2019.01.001. Epub 2019 Feb 14.
Multiple studies have shown that more than half of aviation, aerospace and aeronautics incidents are attributed to human error. Although many existing incident report systems have been beneficial for identifying engineering failures, most of them are not designed around a theoretical framework of human error, thus failing to address core issues and causes of the mishaps. In addition, the collection and classification of human error data can be a challenge, including the causal factors that impact human behavior. Therefore, it is imperative to develop a human error assessment framework to identify these causes [1]. The objective of this article is to provide a high-level literature overview and comparison of relevant human error assessment methods and provide an example of how one of these tools can be used to perform a human error analysis for complex space operations. The Human Factors Analysis and Classification System (HFACS) is one tool that can be used to categorize human error causal factors in a Space Operations environment. Due to the uniqueness of Space Operations and its complexity, there are very limited Human Reliability Assessment (HRA) tools specifically established for identifying and assessing human error. It is recommended that further research be done to fill the gap of HRAs, as it applies specifically to Ground Processing Operations.
多项研究表明,超过一半的航空、航天及航空事故归因于人为失误。尽管许多现有的事故报告系统有助于识别工程故障,但其中大多数并非围绕人为失误的理论框架设计,因此未能解决事故的核心问题及原因。此外,人为失误数据的收集和分类可能具有挑战性,包括影响人类行为的因果因素。因此,开发一个人为失误评估框架以识别这些原因势在必行[1]。本文的目的是对相关人为失误评估方法进行高层次的文献综述和比较,并举例说明如何使用其中一种工具对复杂的太空操作进行人为失误分析。人为因素分析与分类系统(HFACS)是一种可用于在太空操作环境中对人为失误因果因素进行分类的工具。由于太空操作的独特性及其复杂性,专门用于识别和评估人为失误的人因可靠性评估(HRA)工具非常有限。建议开展进一步研究以填补HRA方面的空白,因为它特别适用于地面处理操作。