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Modeling and solving a bi-objective airport slot scheduling problem

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  • Androutsopoulos, Konstantinos N.
  • Manousakis, Eleftherios G.
  • Madas, Michael A.

Abstract

The strategic airport slot allocation problem concerns the scheduling of airlines’ requests for landings and take-offs at congested airports for a series of days within a given scheduling season. Relevant scheduling models dealing with the strategic airport slot allocation problem have employed various combinations of the total schedule displacement criterion with several variations of acceptability metrics. However, most variations of schedule displacement pursued in existing literature do not thoroughly capture the real-world scheduling practice, and, most importantly, do not guarantee the allocation of acceptable/tolerable or viable displacement among competing airlines’ slot requests. In this paper, we propose the formulation of the strategic airport slot allocation problem as a bi-objective resource constrained project scheduling problem with partially renewable resources and non-regular objective functions. We employ two non-regular performance criteria: (i) the total earliness-tardiness and (ii) a dispersion measure aiming to alleviate over-displaced requests. Α novel hybrid heuristic algorithm integrating the Objective Feasibility Pump (FP) algorithm with the Large Neighborhood Search technique (LNS) is proposed. We generate a set of new problem instances originating from the patterns of a data set of actual slot requests for a Greek Regional Airport (GRA) to assess the performance of the algorithm. The computational results indicate that the proposed algorithm is reasonably accurate, and it has the capability to approximate the entire efficient frontier of the problem.

Suggested Citation

  • Androutsopoulos, Konstantinos N. & Manousakis, Eleftherios G. & Madas, Michael A., 2020. "Modeling and solving a bi-objective airport slot scheduling problem," European Journal of Operational Research, Elsevier, vol. 284(1), pages 135-151.
    • Handle: RePEc:eee:ejores:v:284:y:2020:i:1:p:135-151
    DOI: 10.1016/j.ejor.2019.12.008
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    References listed on IDEAS

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    3. 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).
    4. Bergantino, Angela Stefania & Intini, Mario & Volta, Nicola, 2020. "Spatial competition and efficiency: an investigation in the airport sector," The Warwick Economics Research Paper Series (TWERPS) 1287, University of Warwick, Department of Economics.
    5. Bahman Naderi & Rubén Ruiz & Vahid Roshanaei, 2023. "Mixed-Integer Programming vs. Constraint Programming for Shop Scheduling Problems: New Results and Outlook," INFORMS Journal on Computing, INFORMS, vol. 35(4), pages 817-843, July.
    6. Kai Watermeyer & Jürgen Zimmermann, 2022. "A partition-based branch-and-bound algorithm for the project duration problem with partially renewable resources and general temporal constraints," OR Spectrum: Quantitative Approaches in Management, Springer;Gesellschaft für Operations Research e.V., vol. 44(2), pages 575-602, June.

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