Applying HFACS-ME for Human Error of Aircraft Maintenance

Autor: Yen-Wen Chiu, 邱彥文
Rok vydání: 2012
Druh dokumentu: 學位論文 ; thesis
Popis: 101
Today the globalization has brought rapid development. It is expected that airline transportation volume in the future will be increased on a large scale. The ‘flight safety” and “economic effects”—the two pressures which the counterpart airline companies undertake will also be increased. How to improve flight safety is the issue which airline enterprises should face and explore. According to the statistics of International Air Transport Association (IATA), 80% of all the accidents related to flight safety are concerned with human error. However, most enterprises have not made a detailed analysis and taken action to deal with them regarding these records and data to find out the main factors of human error. This study uses “Maintenance Extension of the Human Factors Analysis and Classification System (HFACS-ME)” as the framework of theories. It is aimed to study the target airlines whose aircraft line maintenance departments caused abnormal incidents because of human error in the recent three years (2009-2011). The study will make an independent analysis of their maintenance paper reports and explore the sub-items of different levels that affect aircraft maintenance, that is, the human factor related to human error. After the research results of statistics and certification, the study has discovered that the first three sub-items are respectively the first-level “Judgment/Decision-making”, the fourth level “Inadequate processes” as well as the third-level “Inadequate training/Preparation”, which shows that the errors caused by “Judgment/Decision-making” is the foremost key factor of human factors concerned with airplane maintenance. In addition, through the association analysis of different levels, the study will find out the obvious genres and invariables existing between high levels and low levels, use the τ coefficient brought forth by Goodman & Kruskal as the inspection vector with the purpose of finding the path of levels and also use Odds Ratio to display the intensity of association. With the results obtained from the above-mentioned inspection and analysis, we can understand the mutual influences of high levels and low levels. The ordering of human factors and the association of between-levels derived from this study can be provided to airline companies that under the circumstances of limitation of resources, can focus on the risk factors of management and apply it to Safety Management System (SMS) with the hope that the occurrence probability of human error can be reduced to the minimum.
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