臺灣博碩士論文加值系統

做好疲勞管理是航空業界提升飛航安全的重要趨勢，專家、學者對駕艙飛航組員的疲勞管理相關研究亦已不勝枚舉。惟其研究資料來源多為問卷、訪談及生理監測儀器資料等。因資料提供者都是在已知參與研究的狀態下，故較具主觀成份。本研究的資料來自樣本航空公司飛航組員的自願報告資料庫，資料蒐集自2010至2014共五年期間。因報告提報性質屬自發與無償，且提報者事先不知道報告內容會成為未來的研究資料，故較具客觀性。在研究方法上，本研究應用資料庫知識發掘流程與決策樹模組演算法來分析資料。最後探勘出十二項樣本航空公司各機隊飛航任務模式潛在疲勞發生原因的分類規則，並據以提出管理意涵。本研究結果可讓樣本航空公司在規劃未來飛航組員任務時，消弭或減緩飛航組員疲勞發生。

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.

中文摘要I
英文摘要II
誌謝III
表目錄VI
圖目錄VIII
第一章 緒論1
1.1研究背景1
1.2研究動機2
1.3研究目的3
1.4研究範圍4
1.5論文結構與研究流程6
第二章 文獻回顧9
2.1民用航空業專有名詞解釋9
2.2疲勞的種類、症狀與航空領域疲勞發生的可能原因 11
2.3民航法規與飛航組員疲勞管理14
2.4研究資料來源與形式16
2.5資料庫知識發掘與決策樹應用17
2.6小結22
第三章 研究設計23
3.1研究架構23
3.2研究模式24
第四章 研究模式實證應用28
4.1實證個案背景28
4.2個案實證與應用30
4.3結果分析與討論67
4.4管理意涵76
第五章 結論與建議84
5.1研究發現84
5.2研究貢獻85
5.3建議87
參考文獻89

毛義方 (2013)，勞動疲勞測定方法技術與職場疲勞管理指引，行政院勞工委員會勞工安全衛生研究所技術叢書IOSH102-T-132。
曾淑峰、林志弘、翁玉麟 (2012)，資料採礦應用-以SAS Enterprise Miner為工具，初版，台北市，梅霖文化事業有限公司。
曾憲雄 (2005)，資料探勘，初版，台北市，旗標出版社。
戴敏育 (2013)，資料探勘-資料探勘導論，淡江大學資訊管理學系。
顏進儒、何立己、盧華安、許瓊今、孫慧君、陳信豪、黃瑞明、林豐福、喻世祥 (2004)，疲勞因素對飛航安全之影響評估與對策，初版，台北市，交通部運輸研究所。
楊景晴 (2004)，整合決策樹與關聯規則之資料挖礦架構及其實證研究，國立清華大學工業工程與工程管理學系工業工程組碩士論文。
張新立、梁竣凱 (2014)，潛在構念測量研究長期被忽視的細節：臺灣運輸相關研究之回顧，運輸學刊，第26卷第3期，頁287-327。
曹智凱 (2013)，貨損類型與嚴重程度分模式建構─以電子產品為例，國立交通大學管理學院運輸物流程碩士論文。
孫馨璍 (2008)，線上購物零售業之消費者退貨影響因素分析，國立交通大學運輸研究所碩士論文。
楊玄 (2006)，應用結構方程模式分析飛航組員的疲勞程度，國立臺灣海大學航運管理學系碩士學位論文。
邱精文 (2011)，日本航空集團防範人為因素影響飛航安全之研究，國立高雄應用科技大學觀光與餐旅管理系碩士論文。
張秀如 (2014)，資料收集方法，擷取日期：2014年10月16日，網站：http://r.search.yahoo.com/_ylt=A8tUwYHlNGBVtXIAqjpr1gt。
交通部民用航空局 (2012)，航空器飛航作業管理規則，擷取日期：2015年6月1日，網站：http://www.caa.gov.tw/big5/content/index01.asp?sno=928。

蕭美君 (2014)，為什麼我總是這麼累？可能是「慢性疲勞症候群」，天下雜誌，擷取日期：2014年11月11日。網站：http://www.cw.com.tw/article/article.action?id=5058845&;page=3。
許嘉裕 (2012)，IEEM 6124資料挖礦-決策樹分析，Enabling A+ Decision，擷取日期：2014年12月2日，網站：http://dalab.ie.nthu.edu.tw/DMclass/file/IEEM6124_lecture%204_%E6%B1%BA%E7%AD%96%E6%A8%B9%E5%88%86%E6%9E%90.pdf。
黃仁鵬 (2009)，資料探勘簡介，南台科技大學，擷取日期：2014年11月18日，網站：http://faculty.stust.edu.tw/~jehuang/DMCourse/index.html。
Drurya, D., Ferguson, Thomassally, M. (2012), “Restrictedsleep and Negative Affective States in Commercial Pilots Diring Short Haul Operations”. Accident Analysis and Prevention, pp. 80-84.
Fayyad, U., Piatetsky-Shapiro, G., and Smyth, P. (1996), “From Data Mining to Knowledge Discovery in Databases”, AI Magazine Vol. 17, No. 3, pp. 037-054.
Fayyad, U., Piatetsky-Shapiro, G., and Smyth, P. (1996), “The KDD Process for Extracting Useful Knowledge from Volumes of Data”, Communications of The ACM , Vol. 39, No. 11, pp. 027-031.
Fox, M. A., (2009). “The ICAO Fatigue Risk Management Systems Task Force”, International Civil Aviation Organization, pp.001-018.
Gregory, K., Winn, W., Johnson, K., Roekind, M., (2010) , “Pilot Fatigue Survey: Exploring Fatigue Factors in Air Medical Operations”, Original Research, pp. 309-319.
Hellerstr#westeur055#m, D., Romig, E., Klemetshans, T. (2010) , “The Best Rest. Aerosafety World”, Flight Safety Foundation, pp. 115-123.
Houston, S., Dawson, K., Butler, S., (2012) , “Fatigue Reporting Among Aircrew：Incidence Rate and Primary Causes”, Aviation, Space, and Environmental Medicine, Vol.83, No. 8, pp. 800-804.
Hui, S.C. &; Jha, G., (2000) , “Data Mining for Customer Service Support.” , Information &; Management, Vol. 38, No1, pp. 001-013.
ICAO (International Civil Aviation Organization) Doc 9859, AN/460, (2006), “Safety Management Manual (SMM)”, First Edition.
ICAO Annex 6 Attachment A., (2009) , “Guidance Material for Development of Prescriptive Fatigue Management Regulations”, Supplementary to Chapter 4, 4.2.10.2, Chapter 9, 9.6 and Chapter 12,12.5.
Kantardzic, M. (2011) , Data Mining：Concepts, Models, Metjods, and Algorithms., Wiley-IEEE Press.
Mehta, K., Bhattacharyya, S., (2004) , “Adequacy of Training Data for Evolutionary Mining of Trading rules”. Decision Support Systems, Vol. 37, pp. 461-474.
Olbert, #westeur006#., Hellerstr#westeur055#m, D., Klemets, T. (2011) , “A Comprehensive Investigation of Flight and Duty Time Limitations and Their Ability to Control Crew Fatigue”, Jeppesen, pp. 001-012.
Roachsargent, G. D., Darwent, D., Dawsoncharli, D. (2012), “Duty Periods with Early Start Times Rrestrict the Amount of Sleep Obtained by Short-haul Airline Pilots”. Accident Analysis and Prevention, pp. 022-026.
Romigemma, Klemetstomas, (2009), “Fatigue Risk Management in Flight Crew Scheduling, Aviation, Space, and Environmental Medicine”. Aerospace Medical Association, pp. 1073-1074.
Torbj#westeur055#rn-#westeur038#kerstedtaxelsson, Lekander, M., Orsini, N., Kecklundjohn, G. (2014),” Do Sleep, Stress, and Illness Explain Daily Variations in Fatigue”. Journal of Psychosomatic Research, pp. 280-285.
Williamsonaa, A., Lombardi, Folkard, S., Stutts, J., Courtney, T., Connordavid (2011), “The link Between Fatigue and Safety”. Accident Analysis and Prevention, pp. 498-515.
Yenhsu, J. R., Yang, H., Ho, H. C., (2009), “An Investigationof Fatigue Issues on Different Flight Operations”. Journal of Air Transport Management, pp. 236-240.
Zelinski, E.L., Deibel, S.H., McDonald, R.J., (2014), “The Trouble with Circadian Clock Dysfunction:Multiple Deleterious Effects on the Brain and Body. Neurocience and Biobehavioral Reviews. Vol.40, pp. 080-101.
Airlines.net (2010), Retrieved Apr 17, 2015, website：http://www.airliners.net/.
CAP371 (2004), Avoidance Of Fatigue in Air Crews, Civil Aviation Authority, 4th edition, Retrieved Jan 24, 2015, website: http://www.caa.co.uk/application.aspx?Catid=33&;pagetype=65&;appid=11&;mode=detail&;id=22.
Dcsasharma, (2013), “A Few Thoughts Re: Risk Assessment-Defining An Acceptable Level of Risk, Business Concepts, Ideas, and Information”, Soltis Consulting, Inc. , Retrieved Jan 11, 2015, website: http://soltisconsulting.co/2013/04/11/a-few-thoughts-re-risk-assessment-defining-an-acceptable-level-of-risk/.
Dragich, L., (2012), Event Management: Reactive, Proactive or Predictive?, APM digest, Retrieved Jan 21, 2015, website: http://apmdigest.com/event-management-reactive-proactive-or-predictive.
Encyclopadia Britannica (2014), Retrieved Jul 11, 2014, website: http://global.britannica.com/topic/fatigue-physiology.