| Summary: | 碩士 === 國立交通大學 === 管理學院運輸物流學程 === 103 === Well implementation of the fatigue management has become the important trend of flight safety improvement in the aviation industry. Experts and scholars have completed numerous of researches related to fatigue management of cockpit flight crewmembers. However, the data sources of their researches are questionnaires, interviews and records of physiological monitoring equipment mostly. Besides, the data has more subjective elements for those sample providers knowing that they are being part of the research. In this research, data source is the database of flight crewmembers’ voluntary reports of sample airlines with 2010-2014, 5 years period of time. Those data are more objective as the reports are voluntary and gratuitous. Furthermore, the reporters are never known that their reports will be the future research data. Regarding the research methods, this study applies the knowledge discovery in database processes and decision tree algorithm modules. Eventually explored twelve classification rules of potential fatigue causes in all fleets type flight patterns of sample airlines and recommend six management significations accordingly. The results of this study enables sample airlines could reduce or eliminate occurrence rate of fatigue when design future flight duty patterns.
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