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A column generation-based heuristic for aircraft recovery problem with airport capacity constraints and maintenance flexibility

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  1. Wang, Qi & Mao, Jianing & Wen, Xin & Wallace, Stein W. & Deveci, Muhammet, 2025. "Flight, aircraft, and crew integrated recovery policies for airlines - A deep reinforcement learning approach," Transport Policy, Elsevier, vol. 160(C), pages 245-258.
  2. Jin, Jian Gang & Meng, Qiang & Wang, Hai, 2021. "Feeder vessel routing and transshipment coordination at a congested hub port," Transportation Research Part B: Methodological, Elsevier, vol. 151(C), pages 1-21.
  3. Ding, Yida & Wandelt, Sebastian & Wu, Guohua & Xu, Yifan & Sun, Xiaoqian, 2023. "Towards efficient airline disruption recovery with reinforcement learning," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 179(C).
  4. Pan, Hanchuan & Yang, Lixing & Liang, Zhe, 2023. "Demand-oriented integration optimization of train timetabling and rolling stock circulation planning with flexible train compositions: A column-generation-based approach," European Journal of Operational Research, Elsevier, vol. 305(1), pages 184-206.
  5. Liu, Baoli & Li, Zhi-Chun & Wang, Yadong, 2023. "A branch-and-price heuristic algorithm for the bunkering operation problem of a liquefied natural gas bunkering station in the inland waterways," Transportation Research Part B: Methodological, Elsevier, vol. 167(C), pages 145-170.
  6. Qin, Yichen & Ng, Kam K.H., 2023. "Analysing the impact of collaborations between airlines and maintenance service company under MRO outsourcing mode: Perspective from airline's operations," Journal of Air Transport Management, Elsevier, vol. 109(C).
  7. van Kessel, Paul J. & Freeman, Floris C. & Santos, Bruno F., 2023. "Airline maintenance task rescheduling in a disruptive environment," European Journal of Operational Research, Elsevier, vol. 308(2), pages 605-621.
  8. Su, Yi & Xie, Kexin & Huang, Lei & Zhang, Xiaoning & Chen, Chutian & Liang, Zhe, 2025. "Aircraft recovery with precancellation," Transportation Research Part B: Methodological, Elsevier, vol. 199(C).
  9. Huang, Zhouchun & Luo, Xiaodong & Jin, Xianfei & Karichery, Sureshan, 2022. "An iterative cost-driven copy generation approach for aircraft recovery problem," European Journal of Operational Research, Elsevier, vol. 301(1), pages 334-348.
  10. Wen, Xin & Sun, Xuting & Ma, Hoi-Lam & Sun, Yige, 2022. "A column generation approach for operational flight scheduling and aircraft maintenance routing," Journal of Air Transport Management, Elsevier, vol. 105(C).
  11. Choi, Tsan-Ming & Wen, Xin & Sun, Xuting & Chung, Sai-Ho, 2019. "The mean-variance approach for global supply chain risk analysis with air logistics in the blockchain technology era," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 127(C), pages 178-191.
  12. Rashedi, Navid & Sankey, Nolan & Vaze, Vikrant & Wei, Keji, 2025. "A machine learning approach for solution space reduction in aircraft disruption recovery," European Journal of Operational Research, Elsevier, vol. 323(1), pages 297-308.
  13. Wen, Xin & Chung, Sai-Ho & Ji, Ping & Sheu, Jiuh-Biing, 2022. "Individual scheduling approach for multi-class airline cabin crew with manpower requirement heterogeneity," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 163(C).
  14. Xiao, Fan & Guo, Siqi & Huang, Lin & Huang, Lei & Liang, Zhe, 2022. "Integrated aircraft tail assignment and cargo routing problem with through cargo consideration," Transportation Research Part B: Methodological, Elsevier, vol. 162(C), pages 328-351.
  15. Derui Wang & Yanfeng Wu & Jian-Qiang Hu & Miaomiao Liu & Peiwen Yu & Cheng Zhang & Yan Wu, 2019. "Flight Schedule Recovery: A Simulation-Based Approach," Asia-Pacific Journal of Operational Research (APJOR), World Scientific Publishing Co. Pte. Ltd., vol. 36(06), pages 1-19, December.
  16. Pescio, Luigi & Ribeiro, Marta & Santos, Bruno F., 2025. "Unified tail assignment and maintenance task scheduling: A decision support framework for improved efficiency and stability," Operations Research Perspectives, Elsevier, vol. 15(C).
  17. Liang Lu & Yanfei Xu & Wei Fan & Haiying Pan & Waihung Ip & Kai Leung Yung, 2025. "Research on the recovery method of disrupted flights considering passenger transfer and cancellation costs," Operations Management Research, Springer, vol. 18(2), pages 691-717, June.
  18. Sun, Xuting & Zhao, Xiaoyao & Chung, Sai-Ho & Ma, Hoi-Lam, 2025. "An interactive decision making framework design for the outsourcing cooperation between the service provider and the airline: An exact bilevel method," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 199(C).
  19. Shao, Kaining & Fan, Wenjuan & Lan, Shaowen & Kong, Min & Yang, Shanlin, 2023. "A column generation-based heuristic for brachytherapy patient scheduling with multiple treatment sessions considering radioactive source decay and time constraints," Omega, Elsevier, vol. 118(C).
  20. Zhou, Tianwei & He, Pengcheng & Dai, Weibin & Liu, Ziheng & Gao, Changlong & Huang, Yumiao & Chen, Huan & Geng, Yankun & Niu, Ben, 2026. "Integrated recovery of air cargo transportation under various abnormal scenarios," European Journal of Operational Research, Elsevier, vol. 329(3), pages 864-877.
  21. Huang, Lei & Xiao, Fan & Zhou, Jing & Duan, Zhenya & Zhang, Hua & Liang, Zhe, 2023. "A machine learning based column-and-row generation approach for integrated air cargo recovery problem," Transportation Research Part B: Methodological, Elsevier, vol. 178(C).
  22. Pan, Hanchuan & Liu, Zhigang & Yang, Lixing & Liang, Zhe & Wu, Qiang & Li, Sijie, 2021. "A column generation-based approach for integrated vehicle and crew scheduling on a single metro line with the fully automatic operation system by partial supervision," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 152(C).
  23. Chen, Linlin & Han, Shuihua, 2025. "Sustainable airline operations: A season-based optimization framework for flight scheduling and aircraft assignment," Energy, Elsevier, vol. 340(C).
  24. Ma, Hoi-Lam & Sun, Yige & Chung, Sai-Ho & Chan, Hing Kai, 2022. "Tackling uncertainties in aircraft maintenance routing: A review of emerging technologies," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 164(C).
  25. Boštjan Kovačič & Damjan Doler & Drago Sever, 2021. "The Innovative Model of Runway Sustainable Management on Smaller Regional Airports," Sustainability, MDPI, vol. 13(2), pages 1-20, January.
  26. Luis Cadarso & Vikrant Vaze, 2023. "Passenger-Centric Integrated Airline Schedule and Aircraft Recovery," Transportation Science, INFORMS, vol. 57(3), pages 813-837, May.
  27. Vieira, Thiago & De La Vega, Jonathan & Tavares, Roberto & Munari, Pedro & Morabito, Reinaldo & Bastos, Yan & Ribas, Paulo César, 2021. "Exact and heuristic approaches to reschedule helicopter flights for personnel transportation in the oil industry," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 151(C).
  28. Chen, Li-Ming & Chang, Wei-Lun, 2021. "Supply- and cyber-related disruptions in cloud supply chain firms: Determining the best recovery speeds," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 151(C).
  29. Jiang, Jianlin & Zhang, Sijia & Tang, Yucong & Guo, Yuzhen & Wu, Cheng-Lung, 2025. "ADMM-based augmented Lagrangian methods for robust aircraft recovery problem considering connection time, resource capacity and maintenance flexibility," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 201(C).
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