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研究生: 陳郁青
Chen, Yu-Ching
論文名稱: 高雄國際機場停機線人員疲勞管理之研究-以 C 公司為例
A Study on Fatigue Management of Aircraft Maintenance Technicians in Line Maintenance at Kaohsiung International Airport: A Case Study of C Airline
指導教授: 戴佐敏
Dai, Dzwo-Min
學位類別: 碩士
Master
系所名稱: 管理學院 - 交通管理科學系
Department of Transportation and Communication Management Science
論文出版年: 2026
畢業學年度: 114
語文別: 中文
論文頁數: 82
中文關鍵詞: 停機線維修疲勞管理輪班工作工作負荷Samn-Perelli疲勞量表
外文關鍵詞: line maintenance, fatigue management, shift work, workload, Samn-Perelli Fatigue Scale
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  • 停機線維修作業具有二十四小時輪班、航班週轉時間短、工作負荷隨航班需求變動及安全責任重大等特性。維修人員須於有限時間內完成航前檢查、過境作業、故障排除、維修確認及航機放行,疲勞可能影響其注意力、判斷能力、程序遵循及維修品質。因此,本研究以C公司高雄國際機場停機線輪班維修人員為對象,探討勤務前後疲勞變化,以及班別 (早班、中班、夜班)、加班時數、當日工作航班架次與授權資格 (新進人員、技術員、授權人員)等工作條件和疲勞增量之關聯,並據以提出組織層面的疲勞管理建議。
    統計方法包括描述性統計、單因子變異數分析、卡方檢定、Pearson相關分析、視覺化分析及多元線性迴歸分析;當變異數同質性假設不成立時,採 Welch 檢定與 Games-Howell 事後比較。
    研究結果顯示,整體勤務後疲勞程度高於勤務前。夜班人員之上班前疲勞顯著高於早班與中班,早班之疲勞增量則顯著高於中班與夜班;下班後疲勞方面,早班與夜班均顯著高於中班,早班與夜班之間未達顯著差異,顯示不同班別具有不同疲勞型態。上班前與下班後疲勞反映特定時間點之疲勞程度,疲勞增量則反映單次勤務前後的變化幅度,因此較小的疲勞增量不必然代表較低的勤務後疲勞風險。
    加班時數與當日工作航班架次均與疲勞增量呈顯著正相關,其中當日工作航班架次在迴歸模型中的標準化關聯程度最高,其次為加班時數;模型可解釋21.2%的疲勞增量變異。不同授權資格之描述性比較顯示,三組人員之上班前疲勞平均值相近,授權人員之下班後疲勞及疲勞增量平均值則高於新進人員與技術員;惟此項比較未進行組間顯著性檢定,僅能作趨勢性判讀。
    依據研究結果,本研究建議航空維修單位建立差異化班別疲勞管理機制,並同時檢視勤務前疲勞、勤務後疲勞及疲勞增量。人力配置應以單位人員總數與實際可用人力為基礎,依每日航班量、作業尖峰、例行與非例行維修需求及機種授權需求安排相對應之工作人數。當授權人力不足或特定機種授權集中於少數人員時,應增補授權人力、培訓現有人員取得所需資格,或安排跨班支援。工作單位應持續監測個人工作量、加班、故障處理、監督與簽放責任之分布,避免高工作負荷及特殊機種簽放工作長期集中於相同人員。研究結果可作為停機線維修單位進行排班改善、人力配置、授權培訓及疲勞風險管理之實務參考。

    Line maintenance supports continuous flight operations under short turnaround times, fluctuating workloads, and strict safety requirements. This study examined fatigue among shift-based aircraft maintenance technicians of Airline C at Kaohsiung International Air-port and its relationships with shift type, overtime hours, flights handled per technician per duty period, and authorization category.
    Data were collected over 46 consecutive days from March 1 to April 15, 2026. Fifty-eight technicians participated, and 55 provided complete pre-duty and post-duty records, yield-ing 1,014 daily observations. Fatigue was measured using the seven-point Samn-Perelli Fatigue Scale; fatigue change was calculated as post-duty minus pre-duty fatigue.
    Night-shift personnel reported higher pre-duty fatigue than early- and afternoon-shift per-sonnel, whereas the early shift showed a greater fatigue increase during duty. Overtime hours and flights handled per technician were positively associated with fatigue change, with flights handled showing the strongest standardized association in the regression mod-el. Post-duty fatigue was higher on the early and night shifts than on the afternoon shift, with no significant difference between the early and night shifts.
    B1/B2 authorized personnel showed higher mean post-duty fatigue and fatigue change than M0 and M1 personnel, although this comparison was descriptive and did not include a separate between-group significance test.
    The findings support shift-specific fatigue management, workload-based staffing, in-creased aircraft-type authorization capacity, and monitoring of overtime, workload, trou-bleshooting, and release responsibilities to prevent repeated concentration on the same individuals.

    第一章 緒論 1 1.1 研究背景與動機 1 1.2 研究目的 3 1.3 研究範圍與限制 3 第二章 文獻回顧 6 2.1 疲勞、疲勞管理之定義與航空安全 6 2.2 輪班工作之定義與型態 8 2.3 航空維修輪班制度與工作負荷 10 2.4 航空維修疲勞相關研究 12 2.5 文獻綜合討論與研究缺口 14 第三章 研究方法 17 3.1 研究方法與架構 17 3.1.1 研究方法 17 3.1.2 研究架構 17 3.2 研究對象與資料來源 19 3.3 研究變數定義 20 3.4 研究工具 25 3.4.1 Samn-Perelli疲勞量表 25 3.4.2 疲勞問卷設計 26 3.4.3 統計分析工具 27 3.5 資料分析方法 27 3.5.1 描述性統計 27 3.5.2 單因子變異數分析 27 3.5.3 卡方檢定 28 3.5.4 Pearson相關分析 28 3.5.5 多元迴歸分析 28 3.6 研究流程 29 第四章 研究結果與分析 30 4.1 樣本資料與描述性統計分析 30 4.1.1 受測人員基本資料 30 4.1.2 描述性統計分析 31 4.1.3 不同授權資格人員疲勞程度之描述性比較 32 4.2 不同班別上班前、下班後疲勞與疲勞增量差異分析 33 4.2.1 不同班別上班前疲勞差異分析 34 4.2.2 不同班別下班後疲勞差異分析 36 4.2.3 不同班別疲勞增量之單因子變異數分析 38 4.2.4 疲勞增量之Games-Howell事後比較分析 38 4.2.5 各班別疲勞型態綜合比較 38 4.2.6 不同班別上班前與下班後疲勞分數百分比分布 40 4.3 工作負荷與疲勞相關分析 42 4.3.1 不同班別加班時數與加班比例比較 42 4.3.2 加班時數與疲勞增量之相關分析 43 4.3.3 當日工作航班架次與疲勞增量之相關分析 44 4.3.4 加班時數與當日工作航班架次之相關分析 44 4.4 工作負荷因素與疲勞增量之視覺化分析 45 4.4.1 航班架次與疲勞增量之散佈圖分析 45 4.4.2 加班時數與疲勞增量之散佈圖分析 45 4.4.3 例行維護工作負荷與正常班別人力配置對照分析 48 4.5 疲勞增量相關因素之迴歸分析 50 4.5.1 迴歸模型摘要 50 4.5.2 各自變數與疲勞增量之關聯分析 50 4.5.3 迴歸分析結果說明 52 4.6 前一日與當日班別組合之描述性分析 52 4.7 本章小結 54 第五章 研究結論與建議 55 5.1 研究結論 55 5.2 改善建議 56 5.3 研究限制 58 5.4 後續研究建議 60 參考文獻 62 附錄 66 附錄一 停機線維修人員疲勞調查問卷 66 附錄二 資料清理與前後測配對說明 69 附錄三 例行維護作業需求配置與計算說明 70

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