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Multicriteria Model to Determine Flight Frequencies on an Airline Network under Competitive Conditions

Author

Listed:
  • Dušan Teodorović

    (University of Belgrade, Vojvode Stepe 305, 11000 Belgrade, Yugoslavia)

  • Emina Krčmar-Nožić

    (University of Belgrade, Vojvode Stepe 305, 11000 Belgrade, Yugoslavia)

Abstract

A multicriteria model is developed to determine flight frequencies on a route network when there is competition. In determining flight frequencies, the focus is placed on maximizing profit, maximizing the number of passengers flown and minimizing the total passenger schedule delay. The problem of determining flight frequencies on a route network is a large combinatorial problem whose optimal solution is difficult to find, and a heuristic approach must therefore be used to solve it. The nonlinear integer problem in the paper is solved using the Monte Carlo technique of randomly generating several solutions and choosing the best among them.

Suggested Citation

  • Dušan Teodorović & Emina Krčmar-Nožić, 1989. "Multicriteria Model to Determine Flight Frequencies on an Airline Network under Competitive Conditions," Transportation Science, INFORMS, vol. 23(1), pages 14-25, February.
    • Handle: RePEc:inm:ortrsc:v:23:y:1989:i:1:p:14-25
    DOI: 10.1287/trsc.23.1.14
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    Cited by:

    1. Jaime Miranda, 2010. "eClasSkeduler: A Course Scheduling System for the Executive Education Unit at the Universidad de Chile," Interfaces, INFORMS, vol. 40(3), pages 196-207, June.
    2. Mohammadian, Iman & Abareshi, Ahmad & Abbasi, Babak & Goh, Mark, 2019. "Airline capacity decisions under supply-demand equilibrium of Australia’s domestic aviation market," Transportation Research Part A: Policy and Practice, Elsevier, vol. 119(C), pages 108-121.
    3. Hanif D. Sherali & Ki-Hwan Bae & Mohamed Haouari, 2013. "An Integrated Approach for Airline Flight Selection and Timing, Fleet Assignment, and Aircraft Routing," Transportation Science, INFORMS, vol. 47(4), pages 455-476, November.
    4. Sibdari, Soheil & Mohammadian, Iman & Pyke, David F., 2018. "On the impact of jet fuel cost on airlines’ capacity choice: Evidence from the U.S. domestic markets," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 111(C), pages 1-17.
    5. Chang, Yu-Hern & Yeh, Chung-Hsing & Shen, Ching-Cheng, 2000. "A multiobjective model for passenger train services planning: application to Taiwan's high-speed rail line," Transportation Research Part B: Methodological, Elsevier, vol. 34(2), pages 91-106, February.
    6. Abdelghany, Ahmed & Abdelghany, Khaled & Azadian, Farshid, 2023. "The airline seat capacity allocation problem: An expected marginal profit approach," Journal of Air Transport Management, Elsevier, vol. 112(C).
    7. Manoj Lohatepanont & Cynthia Barnhart, 2004. "Airline Schedule Planning: Integrated Models and Algorithms for Schedule Design and Fleet Assignment," Transportation Science, INFORMS, vol. 38(1), pages 19-32, February.

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