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An integrated decision support tool for airlines schedule recovery during irregular operations

Citations

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  1. Akbarzadeh, Babak & Maenhout, Broos, 2024. "A study on policy decisions to embed flexibility for reactive recovery in the planning and scheduling process in operating rooms," Omega, Elsevier, vol. 126(C).
  2. Shao, Xiao-Feng, 2012. "Demand-side reactive strategies for supply disruptions in a multiple-product system," International Journal of Production Economics, Elsevier, vol. 136(1), pages 241-252.
  3. Voltes-Dorta, Augusto & Rodríguez-Déniz, Héctor & Suau-Sanchez, Pere, 2017. "Passenger recovery after an airport closure at tourist destinations: A case study of Palma de Mallorca airport," Tourism Management, Elsevier, vol. 59(C), pages 449-466.
  4. Wen, Xin & Sun, Xuting & Sun, Yige & Yue, Xiaohang, 2021. "Airline crew scheduling: Models and algorithms," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 149(C).
  5. Zhang, Dong & Yu, Chuhang & Desai, Jitamitra & Lau, H.Y.K. Henry, 2016. "A math-heuristic algorithm for the integrated air service recovery," Transportation Research Part B: Methodological, Elsevier, vol. 84(C), pages 211-236.
  6. Obrad Babić & Milica Kalić & Goran Pavković & Slavica Dožić & Mirjana Čangalović, 2010. "Heuristic approach to the airline schedule disturbances problem," Transportation Planning and Technology, Taylor & Francis Journals, vol. 33(3), pages 257-280, February.
  7. Borgonjon, Tessa & Maenhout, Broos, 2022. "An exact approach for the personnel task rescheduling problem with task retiming," European Journal of Operational Research, Elsevier, vol. 296(2), pages 465-484.
  8. Sun, Xiaoqian & Leng, Yuanfei & Wu, Guohua & Yan, Simeng & Wandelt, Sebastian, 2026. "AIRCREWSCHED: A meta review of aircrew scheduling and its research challenges," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 205(C).
  9. Tessa Borgonjon & Broos Maenhout, 2026. "A study of different preemption types to facilitate the recovery of personnel task schedules," Journal of Scheduling, Springer, vol. 29(1), pages 83-109, February.
  10. Jorge, Diana & Antunes Ribeiro, Nuno & Pais Antunes, António, 2021. "Towards a decision-support tool for airport slot allocation: Application to Guarulhos (Sao Paulo, Brazil)," Journal of Air Transport Management, Elsevier, vol. 93(C).
  11. Voltes-Dorta, Augusto & Rodríguez-Déniz, Héctor & Suau-Sanchez, Pere, 2017. "Vulnerability of the European air transport network to major airport closures from the perspective of passenger delays: Ranking the most critical airports," Transportation Research Part A: Policy and Practice, Elsevier, vol. 96(C), pages 119-145.
  12. Jonas Ingels & Broos Maenhout, 2017. "Employee substitutability as a tool to improve the robustness in personnel scheduling," OR Spectrum: Quantitative Approaches in Management, Springer;Gesellschaft für Operations Research e.V., vol. 39(3), pages 623-658, July.
  13. Santos, Bruno F. & Wormer, Maarten M.E.C. & Achola, Thomas A.O. & Curran, Richard, 2017. "Airline delay management problem with airport capacity constraints and priority decisions," Journal of Air Transport Management, Elsevier, vol. 63(C), pages 34-44.
  14. Sinclair, Karine & Cordeau, Jean-François & Laporte, Gilbert, 2014. "Improvements to a large neighborhood search heuristic for an integrated aircraft and passenger recovery problem," European Journal of Operational Research, Elsevier, vol. 233(1), pages 234-245.
  15. 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.
  16. Bouarfa, Soufiane & Müller, Jasper & Blom, Henk, 2018. "Evaluation of a Multi-Agent System approach to airline disruption management," Journal of Air Transport Management, Elsevier, vol. 71(C), pages 108-118.
  17. Khaled, Oumaima & Minoux, Michel & Mousseau, Vincent & Michel, Stéphane & Ceugniet, Xavier, 2018. "A multi-criteria repair/recovery framework for the tail assignment problem in airlines," Journal of Air Transport Management, Elsevier, vol. 68(C), pages 137-151.
  18. Stephen J. Maher, 2016. "Solving the Integrated Airline Recovery Problem Using Column-and-Row Generation," Transportation Science, INFORMS, vol. 50(1), pages 216-239, February.
  19. Uğur Arıkan & Sinan Gürel & M. Selim Aktürk, 2017. "Flight Network-Based Approach for Integrated Airline Recovery with Cruise Speed Control," Transportation Science, INFORMS, vol. 51(4), pages 1259-1287, November.
  20. Ingels, Jonas & Maenhout, Broos, 2019. "Optimised buffer allocation to construct stable personnel shift rosters," Omega, Elsevier, vol. 82(C), pages 102-117.
  21. Abdelghany, Ahmed & Abdelghany, Khaled, 2026. "Addressing the systemic complexity of airline irregular operations: Toward integrated schedule recovery," Journal of Air Transport Management, Elsevier, vol. 131(C).
  22. Yiting Xing & Ling Li & Zhuming Bi & Marzena Wilamowska‐Korsak & Li Zhang, 2013. "Operations Research (OR) in Service Industries: A Comprehensive Review," Systems Research and Behavioral Science, Wiley Blackwell, vol. 30(3), pages 300-353, May.
  23. Jane Lee & Lavanya Marla & Alexandre Jacquillat, 2020. "Dynamic Disruption Management in Airline Networks Under Airport Operating Uncertainty," Transportation Science, INFORMS, vol. 54(4), pages 973-997, July.
  24. Toni I. Wickert & Pieter Smet & Greet Vanden Berghe, 2021. "Quantifying and enforcing robustness in staff rostering," Journal of Scheduling, Springer, vol. 24(3), pages 347-366, June.
  25. Sato, Keisuke & Fukumura, Naoto, 2012. "Real-time freight locomotive rescheduling and uncovered train detection during disruption," European Journal of Operational Research, Elsevier, vol. 221(3), pages 636-648.
  26. Samà, Marcella & D’Ariano, Andrea & Pacciarelli, Dario, 2013. "Rolling horizon approach for aircraft scheduling in the terminal control area of busy airports," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 60(C), pages 140-155.
  27. 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.
  28. 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).
  29. Rodríguez-Sanz, à lvaro & Comendador, Fernando Gómez & Valdés, Rosa Arnaldo & Pérez-Castán, Javier A., 2018. "Characterization and prediction of the airport operational saturation," Journal of Air Transport Management, Elsevier, vol. 69(C), pages 147-172.
  30. Yujie Yuan & Yantao Wang & Xiushan Jiang & Chun Sing Lai, 2024. "An Innovative Multi-Objective Rescheduling System for Mitigating Pandemic Spread in Aviation Networks," Clean Technol., MDPI, vol. 6(1), pages 1-16, January.
  31. Naz Yeti̇moğlu, Yücel & Selim Aktürk, M., 2021. "Aircraft and passenger recovery during an aircraft’s unexpected unavailability," Journal of Air Transport Management, Elsevier, vol. 91(C).
  32. Jonas Ingels & Broos Maenhout, 2018. "The impact of overtime as a time-based proactive scheduling and reactive allocation strategy on the robustness of a personnel shift roster," Journal of Scheduling, Springer, vol. 21(2), pages 143-165, April.
  33. Achenbach, Anna & Spinler, Stefan, 2018. "Prescriptive analytics in airline operations: Arrival time prediction and cost index optimization for short-haul flights," Operations Research Perspectives, Elsevier, vol. 5(C), pages 265-279.
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