A Human Factors Analysis of the Voluntary Reports of the Taiwan Aviation Industry

碩士 === 中原大學 === 工業與系統工程研究所 === 105 === The purpose of this study aimed to analyze the voluntary reports that were received by the Civil Aeronautics Administration from the domestic air transportation enterprises in Taiwan. Human Factors Analysis and Classification System – Maintenance Audit (HFACS-M...

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Bibliographic Details
Main Authors: Ting-Yeh Lo, 羅亭曄
Other Authors: Yu-Lin Hsiao
Format: Others
Language:zh-TW
Published: 2017
Online Access:http://ndltd.ncl.edu.tw/cgi-bin/gs32/gsweb.cgi/login?o=dnclcdr&s=id=%22105CYCU5030064%22.&searchmode=basic
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Summary:碩士 === 中原大學 === 工業與系統工程研究所 === 105 === The purpose of this study aimed to analyze the voluntary reports that were received by the Civil Aeronautics Administration from the domestic air transportation enterprises in Taiwan. Human Factors Analysis and Classification System – Maintenance Audit (HFACS-MA) was the exploring tool for analyzing the reports to find out significant faults or potential failures from the human factors perspectives. Four types of human errors would be examined, that are, Unsafe Acts, Preconditions for Unsafe Acts, Unsafe Supervision, and Organizational Influences. The result illustrated that “Skill-based Errors” took the highest proportion in Unsafe Acts. For the Preconditions for Unsafe Acts, the most common reasons were “Adverse States” and “Hardware/Software”. “Planning/Organizing” and “Controlling/Correcting” were the most significant issues of Unsafe Supervision. At the level of Organizational Influences, “Safety Oversight” was the most common matter. The result also revealed the causal relationships between different levels of human failures. For instance, “Resource Management” of Organizational Influences had significant influences to “Planning/Organizing” of Unsafe Supervision. Compared to other types of safety data in the aviation industry, the voluntary reports which were received from the airliners may be capable of disclosing some important findings that other data such as enforcement reports couldn’t detect. This study can be considered as part of the fundamental research of human factors in the flight safety field and could be took into account to enhance safety management in human error prevention.