參考文獻 |
1. 王書凡:<航空器後續適航驗證:管理體系與ISO 9000模式之探討>,碩士論文,淡江大學航空太空工程學系,2002。
2. 交通部民航局:<交通部民航局2019年統計資料>,2019。取自https://www.caa.gov.tw/Article.aspx?a=283&lang=1。
3. 交通部民航局:<中華民國108年12月統計月報>,2019。取自https://www.caa.gov.tw/FileAtt.ashx?lang=1&id=22362。
4. 交通部民航局:<赴美國波音公司參加高齡飛機維護計畫研討會>,交通部民航局出國考察報告,2009。取自https://report.nat.gov.tw/ReportFront/PageSystem/reportFileDownload/C09804196/001。
5. 交通部民航局:<主旨:維護簽證及記錄(Maintenance Records and Maintenance Release)>,交通部民用航空局民航通告,編號:AC 43-001E,2016。取自https://www.caa.gov.tw/FileAtt.ashx?lang=1&id=26567。
6. 吳宇晴:<考量需求不確定性與上游運輸整合之物流中心選址問題>,碩士論文,國立交通大學運輸與物流管理學系,2018。
7. 吳國賓:<航機高階維護最佳化模組之開發>,碩士論文,國立成功大學航空太空工程學系,2004。
8. 林汶峯:<消防車輛維修保養派遣最佳化之研究>,碩士論文,國立中央大學土木工程學系,2013。
9. 官振揚:<航機維修造成航班延誤因素案例探討>,碩士論文,大同大學工程管理學系,2018。
10. 邱裕鈞、林玄鈺:<考量旅行時間隨機性之客運駕駛排班模式>,中華民國運輸學會110年會暨學術論文國際研討會,國立陽明交通大學,台北市,2021年12月,第三冊,714~739頁。
11. 桃園國際機場股份有限公司:<桃園國際機場股份有限公司停機坪作業管理規定>,2019。取自https://www.taoyuanairport.com.tw/upload/cont_tag_att/c70ff127-6b94-44ea-89ee-15ddf7821c31.pdf。
12. 翁鈺雯:<電聯車維修排程最佳化>,碩士論文,國立中央大學土木工程學系,2021。
13. 許悅玲、邱彥文:<應用<人為因素分析和歸類系統-維修延伸(HFACS-ME)>探討停機線航機維修人為疏失之研究>,航空安全及管理季刊,第二卷第三期,2015,252-275頁。
14. 陳怡君:<隨機旅行時間下跨校選授課專車排程規劃之研究>,碩士論文,國立中央大學土木工程學系,2011。
15. 陳俊汝:<機隊維修排程最佳化之研究>,碩士論文,國立成功大學航空太空工程學系,2003。
16. 陳毓卿:<因應臨時事件航機停機修護排程調整最佳化之研究>,碩士論文,國立中央大學土木工程學系,2007。
17. 陳俊穎、蕭筑云、許芳瑜:<考量航機檢修下航機指派最佳化網路模式之研究>,中華民國運輸學會110年會暨學術論文國際研討會,國立陽明交通大學,台北市,2021年12月,第一冊,236~249頁。
18. 國際航空運輸協會IATA:<國際航協:2024年全球航空客運量有望復甦>,國際航空運輸協會IATA 2022年3月新聞稿,2022,取自https://www.iata.org/contentassets/0276e81943f34f12b515bf84eb42b60b/2022-03-01-01-cn.pdf。
19. 黃寬丞、林啓洋:<考量到達隨機性之船席模板設計問題>,中華民國運輸學會110年會暨學術論文國際研討會,國立陽明交通大學,台北市,2021年12月,第三冊,468~487頁。
20. 湯慶輝、徐翊珊:<隨機性人力需求下停機線修護人力供給模式>,運輸學刊,第二十八卷第三期,2016,267-293頁。
21. 楊大輝、賴奕維:<航空公司短期維修計畫之人員勤務指派>,運輸
計劃季刊,第三十四卷第四期,2005,525-548頁。
22. 劉世德:<航空機隊維修計劃預測與排程規劃>,碩士論文,元智大學工業工程與管理學系,2002。
23. 劉姝妘:<隨機性機場護送任務指派之研究>,碩士論文,國立中央大學土木工程學系,2021。
24. 歐冠廷:<隨機滯留時間下電動機車電力補充設施配置暨旅運排程最佳化>,碩士論文,國立中央大學土木工程學系,2018。
25. 顏上堯、郭俊志:<隨機進廠及維護時間下航機年度維護排程調整最佳化之研究>,運輸計劃季刊,第四十四卷第二期,2015,99-143頁。
26. 顏上堯、陳玉菁:<純檢修資格航機修護人力供給模式之建立>,運輸計劃季刊,第三十一卷第四期,2002,817~839頁。
27. 顏上堯、陳俊穎、袁瑞霞:<航機維修廠中期修護停機排程最佳化模式之研究>,運輸學刊,第十九卷第二期,2007,121~140頁。
28. 顏上堯、陳佳宏、葉宗昇:<混合確定與隨機需求下捷運車廂檢修長期人力供給規劃之研究>,運輸計劃季刊,第三十七卷第一期,2008,79~107頁。
29. 顏上堯、郭俊志、蕭妃晏:<航機維護工廠年度停機排程調整最佳化之研究>,運輸計劃季刊,第四十一卷第三期,2012,311-344頁。
30. 顏上堯、羅智騰:<因應預期性航具維修之系統飛航排程>,中國土木水利工程學刊,第八卷第三期,1996,447-456頁。
31. 魏志勳:<例行性勤務分局各派出所人力資源整合與供給規劃>,碩士論文,國立中央大學土木工程學系,2018。
32. Al-Thani, N. A., Ahmed, M. B., and Haouari, M., “A model and optimization-based heuristic for the operational aircraft maintenance routing problem.” Transportation Research Part C: Emerging Technologies, Vol. 72, 2016, pp. 29-44.
33. Birge, J. R., and Louveaux, F., “Introduction to stochastic programming.” Springer Series in Operations Research and Financial Engineering, 2nd edition, New York, 2011.
34. Boeing, “Pilot and technician outlook 2021-2040.”, 2021. 取自https://www.boeing.com/resources/boeingdotcom/market/assets/downloads/BMO_2021_Report_PTO_R4_091321AQ-A.PDF.
35. Callewaert, P., Verhagen, W. J., and Curran, R., “Integrating maintenance work progress monitoring into aircraft maintenance planning decision support.” Transportation Research Procedia, Vol. 29, 2018, pp. 58-69.
36. D’Ariano, A., Meng, L., Centulio, G., and Corman, F., “Integrated stochastic optimization approaches for tactical scheduling of trains and railway infrastructure maintenance.” Computers & Industrial Engineering, Vol. 127, 2019, pp. 1315-1335.
37. Deng, Q., and Santos, B. F., “Lookahead approximate dynamic programming for stochastic aircraft maintenance check scheduling optimization.” European Journal of Operational Research, Vol. 299, No. 3, 2022, pp. 814-833.
38. Deng, Q., Santos, B. F., and Curran, R., “A practical dynamic programming based methodology for aircraft maintenance check scheduling optimization.” European Journal of Operational Research, Vol. 281, No. 2, 2020, pp. 256-273.
39. Eltoukhy, A. E., Chan, F. T., Chung, S. H., and Qu, T., “Scenario-based stochastic framework for operational aircraft maintenance routing problem.” The International Conference on Systems Engineering and Engineering Management, 2017.
40. Feng, Q., Bi, X., Zhao, X., Chen, Y., and Sun, B., “Heuristic hybrid game approach for fleet condition-based maintenance planning.” Reliability Engineering & System Safety, Vol. 157, 2017, pp. 166-176.
41. Giacco, G. L., Carillo, D., D’Ariano, A., Pacciarelli, D., and Marín, Á. G. “Short-term rail rolling stock rostering and maintenance scheduling.” Transportation Research Procedia, Vol. 3, 2014, pp. 651-659.
42. Go, H., Kim, J. S., and Lee, D. H., “Operation and preventive maintenance scheduling for containerships: Mathematical model and solution algorithm.” European Journal of Operational Research, Vol. 229, No. 3, 2013, pp. 626-636.
43. Haouari, M., Shao, S., and Sherali, H. D., “A lifted compact formulation for the daily aircraft maintenance routing problem.” Transportation Science, Vol. 47, No. 4, 2013, pp. 508-525.
44. IATA, “Airline maintenance cost executive commentary fy2019 data.”, 2019. 取自https://www.iata.org/mctg/#tab-1.
45. Khassiba, A., Bastin, F., Cafieri, S., Gendron, B., and Mongeau, M., “Two-stage stochastic mixed-integer programming with chance constraints for extended aircraft arrival management.” Transportation Science, Vol. 54, No. 4, 2020, pp. 897-919.
46. Kalinowski, T., Matthews, J., and Waterer, H., “Scheduling of maintenance windows in a mining supply chain rail network.” Computers & Operations Research, Vol. 115, 2020, pp. 104670.
47. Lagos, C., Delgado, F., and Klapp, M. A., “Dynamic optimization for airline maintenance operations.” Transportation Science, Vol. 54, No. 4, 2020, pp. 998-1015.
48. Liang, Z., Feng, Y., Zhang, X., Wu, T., and Chaovalitwongse, W. A., “Robust weekly aircraft maintenance routing problem and the extension to the tail assignment problem.” Transportation Research Part B: Methodological, Vol. 78, 2015, pp. 238-259.
49. Maher, S. J., Desaulniers, G., and Soumis, F., “The daily tail assignment problem under operational uncertainty using look-ahead maintenance constraints.” European Journal of Operational Research, Vol. 264, No. 2, 2018, pp. 534-547.
50. Oliver Wyman, “Global Fleet and MRO Market Forecast Commentary 2019–2029.” Oliver Wyman: New York, NY, USA, 2019. 取自https://www.oliverwyman.com/content/dam/oliver-wyman/v2/publications/2019/January/global-fleet-mro-market-forecast-commentary-2019-2029.pdf.
51. Oliver Wyman, “Global Fleet and MRO Market Forecast 2021-2031.” Oliver Wyman: New York, NY, USA, 2021. 取自https://www.oliverwyman.com/content/dam/oliver-wyman/v2/media/2021/feb/Global_FLeet_and_MRO_Market_Forecast_2021-2031_OW.pdf.
52. Pontecorvo, J. A., “MSG-3–A Method for Maintenance Program Planning.” SAE Technical Paper, No. 841485, 1984.
53. Safaei, N., & Jardine, A. K., Aircraft routing with generalized maintenance constraints. Omega, Vol. 80, 2018, pp. 111-122.
54. Sarojanie, S. A. N., “Identification of possible reasons that affect departure flight punctuality.” (Doctoral dissertation), 2015.
55. Sanchez, D. T., Boyacı, B., and Zografos, K. G., “An optimisation framework for airline fleet maintenance scheduling with tail assignment considerations.” Transportation Research Part B: Methodological, Vol. 133, 2020, pp. 142-164.
56. Senturk, C., and Ozkol, I., “The effects of the use of single task-oriented maintenance concept and more accurate letter check alternatives on the reduction of scheduled maintenance downtime of aircraft.” International Journal of Mechanical Engineering and Robotics Research, Vol. 7, No. 2, 2018, pp. 189-196.
57. Shahmoradi-Moghadam, H., Safaei, N., and Sadjadi, S. J., “Robust maintenance scheduling of aircraft fleet: A hybrid simulation-optimization approach.” IEEE Access, Vol. 9, 2021, pp. 17854-17865.
58. Shaukat, S., Katscher, M., Wu, C. L., Delgado, F., and Larrain, H., “Aircraft line maintenance scheduling and optimisation.” Journal of Air Transport Management, Vol. 89, pp. 101914, 2020.
59. Stancu-Minasian, I. M., “Stochastic programming with multiple objective functions.”, Vol. 13, D, 1984.
60. Tönissen, D. D., Arts, J. J., and Shen, Z. J., “Maintenance location routing for rolling stock under line and fleet planning uncertainty.” Transportation Science, Vol. 53, No. 5, 2019, pp. 1252-1270.
61. Van den Bergh, J., De Bruecker, P., Beliën, J., De Boeck, L., and Demeulemeester, E., “A three-stage approach for aircraft line maintenance personnel rostering using MIP, discrete event simulation and DEA.” Expert Systems with Applications, Vol. 40, No. 7, 2013, pp. 2659-2668.
62. Wang, D., Zhan, S., Peng, Q., and Zhou, W., “Integrated Overnight Train Scheduling and Maintenance Planning for High-Speed Railway Lines.” Transportation Research Record, Vol. 2675, No. 3, 2021, pp. 222-237.
63. van der Weide, T., Deng, Q., and Santos, B. F., “Robust long-term aircraft heavy maintenance check scheduling optimization under uncertainty.” Computers & Operations Research, Vol. 141, 2022, pp. 105667.
64. Yan, S., Chen, C. Y., and Yuan, C. Y., “Long-term aircraft maintenance scheduling for an aircraft maintenance centre: a case study.” International Journal of Applied Management Science, Vol. 1, No. 2, 2008, pp. 143-159.
65. Yan, S., and Chen, Y. C., “Flight rescheduling, fleet rerouting and passenger reassignment for typhoon disruption events.” Transportation Letters, 2021, pp. 1-20.
66. Yen, J. W., and Birge, J. R.,” A stochastic programming approach to the airline crew scheduling problem.” Transportation Science, Vol. 40, No. 1, 2006, pp. 3-14.
67. Zámková, M., Prokop, M., and Stolín, R., “Factors influencing flight delays of a European airline.” Acta Universitatis Agriculturae et Silviculturae Mendelianae Brunensis, Vol. 65, No. 5, 2017, pp. 1799-1807.
68. Zhong, Q., Lusby, R. M., Larsen, J., Zhang, Y., and Peng, Q., “Rolling stock scheduling with maintenance requirements at the Chinese High-Speed Railway.” Transportation Research Part B: Methodological, Vol. 126, 2019, pp. 24-44.
69. Zhu, B., Zhu, J. F., and Gao, Q., “A stochastic programming approach on aircraft recovery problem.” Mathematical Problems in Engineering, Vol. 2015, 2015. |