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Scheduling aircraft landings using airlines' preferences

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  • Soomer, M.J.
  • Franx, G.J.

Abstract

Arrival runways are a critical resource in the air traffic system. Arrival delays have a great impact on airline operations and cost. Therefore, tactical arrival planning is becoming increasingly important. In this paper, we consider the tactical single runway arrival problem. The current focus on collaborative decision making is reflected by giving airlines the possibility to provide cost functions related to arrival delays for their flights. A scaling method for these cost is introduced to ensure equity. Our formulation will assign landing times to the flights, while taking the costs into account. A problem-specific local search heuristic has been implemented to obtain reasonable solutions within acceptable computation times. A large number of instances, created using schedule data from a major European hub, have been tested. These experiments show large cost savings for the airlines compared to current practice. All airlines achieve improvements, which is important for the acceptance of the method. The heuristic is able to solve instances with over 100 flights in a few minutes. A simulation experiment shows the method can also be used in a dynamic setting and produces robust schedules.

Suggested Citation

  • Soomer, M.J. & Franx, G.J., 2008. "Scheduling aircraft landings using airlines' preferences," European Journal of Operational Research, Elsevier, vol. 190(1), pages 277-291, October.
    • Handle: RePEc:eee:ejores:v:190:y:2008:i:1:p:277-291
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    Cited by:

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    11. Bennell, Julia A. & Mesgarpour, Mohammad & Potts, Chris N., 2017. "Dynamic scheduling of aircraft landings," European Journal of Operational Research, Elsevier, vol. 258(1), pages 315-327.
    12. Bo Xu & Weimin Ma & Hui Huang & Lei Yue, 2016. "Weighted Constrained Position Shift Model for Aircraft Arrival Sequencing and Scheduling Problem," Asia-Pacific Journal of Operational Research (APJOR), World Scientific Publishing Co. Pte. Ltd., vol. 33(04), pages 1-22, August.
    13. Kapolke, Manu & Fürstenau, Norbert & Heidt, Andreas & Liers, Frauke & Mittendorf, Monika & Weiß, Christian, 2016. "Pre-tactical optimization of runway utilization under uncertainty," Journal of Air Transport Management, Elsevier, vol. 56(PA), pages 48-56.
    14. Senay Solak & Gustaf Solveling & John-Paul B. Clarke & Ellis L. Johnson, 2018. "Stochastic Runway Scheduling," Transportation Science, INFORMS, vol. 52(4), pages 917-940, August.
    15. Chandra, Aitichya & Choubey, Nipun & Verma, Ashish & Sooraj, K.P., 2024. "Quasi-stochastic optimization model for time-based arrival scheduling considering Standard Terminal Arrival (STAR) track time and a new delay-conflict relationship," Journal of Air Transport Management, Elsevier, vol. 115(C).
    16. Faye, Alain, 2015. "Solving the Aircraft Landing Problem with time discretization approach," European Journal of Operational Research, Elsevier, vol. 242(3), pages 1028-1038.
    17. Julia Bennell & Mohammad Mesgarpour & Chris Potts, 2013. "Airport runway scheduling," Annals of Operations Research, Springer, vol. 204(1), pages 249-270, April.
    18. Yunqiang Yin & Du‐Juan Wang & Chin‐Chia Wu & T.C.E. Cheng, 2016. "CON/SLK due date assignment and scheduling on a single machine with two agents," Naval Research Logistics (NRL), John Wiley & Sons, vol. 63(5), pages 416-429, August.
    19. Lieder, Alexander & Briskorn, Dirk & Stolletz, Raik, 2015. "A dynamic programming approach for the aircraft landing problem with aircraft classes," European Journal of Operational Research, Elsevier, vol. 243(1), pages 61-69.
    20. Pellegrini, Paola & Castelli, Lorenzo & Pesenti, Raffaele, 2012. "Secondary trading of airport slots as a combinatorial exchange," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 48(5), pages 1009-1022.
    21. Wang, Jun-Qiang & Fan, Guo-Qiang & Zhang, Yingqian & Zhang, Cheng-Wu & Leung, Joseph Y.-T., 2017. "Two-agent scheduling on a single parallel-batching machine with equal processing time and non-identical job sizes," European Journal of Operational Research, Elsevier, vol. 258(2), pages 478-490.

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