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Stochastic optimization models for the airport gate assignment problem

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  • Şeker, Merve
  • Noyan, Nilay

Abstract

Uncertainties inherent in the airport traffic may lead to the unavailability of gates for accommodating scheduled flights. Incorporating random disruptions is crucial in constructing effective flight-gate assignments. We consider the gate assignment problem under uncertainty in flight arrival and departure times and develop stochastic programming models incorporating robustness measures based on the number of conflicting flights, idle and buffer times. The proposed models are formulated as large-scale mixed-integer programming problems and tabu search algorithms are implemented to obtain assignments of reasonable quality. We conduct a computational study to analyze the proposed alternate models and show the effectiveness of the solution methods.

Suggested Citation

  • Şeker, Merve & Noyan, Nilay, 2012. "Stochastic optimization models for the airport gate assignment problem," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 48(2), pages 438-459.
    • Handle: RePEc:eee:transe:v:48:y:2012:i:2:p:438-459
    DOI: 10.1016/j.tre.2011.10.008
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    Cited by:

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    2. Daş, Gülesin Sena & Gzara, Fatma & Stützle, Thomas, 2020. "A review on airport gate assignment problems: Single versus multi objective approaches," Omega, Elsevier, vol. 92(C).
    3. Bert Dijk & Bruno F. Santos & Joao P. Pita, 2019. "The recoverable robust stand allocation problem: a GRU airport case study," OR Spectrum: Quantitative Approaches in Management, Springer;Gesellschaft für Operations Research e.V., vol. 41(3), pages 615-639, September.
    4. Zhang, Dong & Klabjan, Diego, 2017. "Optimization for gate re-assignment," Transportation Research Part B: Methodological, Elsevier, vol. 95(C), pages 260-284.
    5. Li, Mingjie & Hao, Jin-Kao & Wu, Qinghua, 2022. "Learning-driven feasible and infeasible tabu search for airport gate assignment," European Journal of Operational Research, Elsevier, vol. 302(1), pages 172-186.
    6. Karsu, Özlem & Azizoğlu, Meral & Alanlı, Kerem, 2021. "Exact and heuristic solution approaches for the airport gate assignment problem," Omega, Elsevier, vol. 103(C).
    7. Kim, Junyoung & Goo, Byungju & Roh, Youngjoo & Lee, Chungmok & Lee, Kyungsik, 2023. "A branch-and-price approach for airport gate assignment problem with chance constraints," Transportation Research Part B: Methodological, Elsevier, vol. 168(C), pages 1-26.
    8. Skorupski, Jacek & Żarów, Piotr, 2021. "Dynamic management of aircraft stand allocation," Journal of Air Transport Management, Elsevier, vol. 90(C).
    9. Bagamanova, Margarita & Mota, Miguel Mujica, 2020. "A multi-objective optimization with a delay-aware component for airport stand allocation," Journal of Air Transport Management, Elsevier, vol. 83(C).
    10. Ulrich Dorndorf & Florian Jaehn & Erwin Pesch, 2017. "Flight gate assignment and recovery strategies with stochastic arrival and departure times," OR Spectrum: Quantitative Approaches in Management, Springer;Gesellschaft für Operations Research e.V., vol. 39(1), pages 65-93, January.

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