|
1. Babar, A., Kamal, k., Usman, M., Zehra, M.(2019), “Optimization of Aircraft Maintenance Routing Using Uninformed and Informed Search Algorithms,” International Journal of Mechanical Engineering and Robotics Research, Vol. 8,No.1,pp. 141-145. doi: 10.18178/ijmerr.8.1.141-145 2. Bulbul, K., Kasimbeyli, R.(2021), “Augmented Lagrangian based hybrid subgradient method for solving aircraft maintenance routing problem,”Computers & Operations Research,Vol.133, pp. 187-203. doi: 10.1016/j.cor.2021.105294 3. Deldago, F., Mora, J.(2021), “A matheuristic approach to the air-cargo recovery problem under demand disruption,” Journal of Air Transport Management, Vol. 90. doi:10.1016/j.jairtraman.2020.101939 4. Froyland, G., Maher, S. J., Wu, C. L. (2014), “The recoverable robust tail assignment problem,” Transportation Science, Vol. 48, No.3,pp. 351-372. doi:10.1287/trsc.2013.0463 5. Fuentes, M., Cadarso, L., Vaze, V., Barnhart, C.(2020), “The Tail Assignment Problem: A Case Study at Vueling Airlines” Transportation Research Procedia, Vol. 52, pp. 445-452. doi:10.1016/j.trpro.2021.01.052 6. Hu, Y., Liao, H., Zhang, S., Song, Y.(2017), “Multiple objective solution approaches for aircraft rerouting under the disruption of multi-aircraft” Expert Systems With Applications, Vol. 83, pp 283-299. doi: 10.1016/j.eswa.2017.04.031 7. Kena, N., Jebali, A., Diabat, A.(2018), “An integrated flight scheduling and fleet assignment problem under uncertainty,”Computers & Operations Research, Vol.100, pp. 333-342. doi:10.1016/j.cor.2017.08.014 8. Khaled, O., Minoux, M., Mousseau, V., Michel, S., Ceugniet, X. (2017), “A compact optimization model for the tail assignment problem,”European Journal of Operational Research, Vol. 264, pp. 548-557. doi: 10.1016/j.ejor.2017.06.045 9. Khaled, O., Minoux, M., Mouseeeau, V., Michel, S., Geugniet, X.(2018), “A multi-criteria repair/recovery framework for the tail assignment problem in airlines,” Journal of Air Transport Management, Vol. 68,No.0 ,pp 137-151. doi: 10.1016/j.jairtraman.2017.10.002 10. Li, Y., Tan, N.(2013), “Study on Fleet Assignment Problem Model and Algorithm,” Mathematical Problems in Engineering, Vol. 2013, pp. 1-5. doi:10.1155/2013/581586 11. Linder, M., Fricke, H.(2020), “Examination and Application of Aircraft Reliability in Flight Scheduling and Assignment,”Operations Research Proceedings, pp. 447- 543. doi:10.1007/978-3-030-48439-2_54 12. Maher, S., Desaulniers,c., Soumis, F. (2018), “The daily tail assignment problem under operational uncertainty using look-ahead maintenance constraints,” Science Direct, Vol. 264,pp. 534-547. doi:10.1016/j.ejor.2017.06.041 13. Martins, L., Rocha, A., Castro, A. (2021), “A QUBO Model to the Tail Assignment Problem,” Proceedings of the 13th International Conference on Agents and Artificial Intelligence, Vol. 2, pp. 899-609. doi: 10.5220/0010259608990906 14. Ruther, S., Boland, N., Engineer, F., Evans, I.(2017), “Integrated Aircraft Routing, Crew Pairing, and Tail Assignment : Branch-and-Price with Many Pricing Problems,” Transportation Science, Vol. 51, No.1, pp. 177-195. doi: 10.1287/trsc.2015.0664 15. Sanchez, D., Boyaci, B., Zgrafos, G.(2020), “An optimisation framework for airline fleet maintenance scheduling with tail assignment considerations,” Transportation Research Part B Methodological, Vol.133, No.0,pp. 142-164, doi:10.1016/j.trb.2019.12.008 16. Sousa,H., Teixeira, R., Cardoso, H., Oliveira, E.(2015), “Airline Disruption Management: Dynamic Aircraft Scheduling with Ant Colony Optimization,” International Conference on Agents and Artificial Intelligence,pp. 398-405. doi:10.5220/0005205303980405 17. Wu, Z., Li, B., Dang, C.,(2017), “Solving Multiple Fleet Airline Disruption Problems Using a Distributed-Computation Approach to Integer Programming,”IEEE Access, Vol. 5,pp. 19116-19131. doi: 10.1109/ACCESS.2017.2747155 18. Wang, Z., Wang, F., Hei, X., Meng, H. (2018), “The Model of Flight Recovery Problem with Decision Factors and Its Optimization,”International Conference on Intelligent Computing,pp. 679-690. 19. Xu, Y., Wandelt, S., Sun, X.(2019), “Stochastic Tail Assignment under Recovery,” Thirteenth USA/Europe Air Traffic Management Research and Development Seminar. 20. Yetimoglu, Y., Akturk, M.(2021), “AIRCRAFT AND PASSENGER RECOVERY DURING AN AIRCRAFT’S UNEXPECTED UNAVAILABILITY”Journal of Air Transport Management, Vol. 91, No.0. doi: 10.1016/j.jairtraman.2020.101991 21. Zhang, C. (2017), “Two-stage heuristic algorithm for aircraft recovery problem,” Discrete Dynamics in Nature and Society, Vol. 87,pp. 436-453. doi: 10.1155/2017/9575719 22. Statista(2021), Number of scheduled passengers boarded by the global airline industry from 2004 to 2022. Retrieved from: https://www.statista.com/statistics/564717/airline-industry-passenger-trafficglobally/ 23. 國際航空運輸協會(2020),2019 年全球航空客運需求緩慢增長,國際航空運 輸協會。檢自 https://www.iata.org/contentassets/12851812b6e6455eb8363726eb326fef/2020- 02-06-01-cn.pdf 24. 桃園國際機場股份有限公司(2021),年度客運量,中華民國交通部民用航空 局。檢自 https://www.taoyuanairport.com.tw/passengervolume 25. 顏上堯 (1994),「班次表擾動下飛航排程策略 - 利用動態網路流動技巧」, 行政院國家科學委員會(編號: NSC83-0410-E008-064)。檢自 https://www.grb.gov.tw/search/planDetail?id=126184 26. 王思文 (2006),「因應多機場暫時性關閉之飛航排成方法」,國立交通大學 運輸科技與管理學系碩士班論文。 27. 紀清耀 (2008),「快遞運務員作業排程規劃及及時調整之研究」,國立中央 大學土木工程學系碩士班論文。 28. 顏上堯, 郭俊志, 蕭妃晏 (2012),「航機維護工廠年度排程調整最佳化模式 之研究」,運輸計畫季刊,41(3),331-344。 29. 顏上堯 (2018),「因應颱風擾動事件飛航排程調整規劃之研究」,科技部補 助專題研究計畫成果報告期末報告(編號: MOST 104-2221-E-008-031-MY3), 未出版。檢自 http://grbsearch.stpi.narl.org.tw/search/planDetail?docId=0&id=11577385&plan _no=MOST104-2221-E008-031-MY3&plan_year=104&target=plan 30. 陳俊穎 (2020),「最佳化航機指派網路模式之研究」,109 年中華民國運輸 學會。台南市。 31. 陳俊穎等人 (2021),「考量航機檢修下航機指派最佳化網路模式之研究」, 110 年中華民國運輸學會。
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