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A decision support system for reducing the strategic risk in the schedule building process for network carrier airline operations

Author

Listed:
  • Muhammet Deveci

    (Imperial College London
    National Defence University)

  • Rosa Mª Rodríguez

    (University of Jaén)

  • Álvaro Labella

    (University of Jaén)

  • Muharrem Enis Ciftci

    (Istanbul Atlas University
    Ordulu Technology Inc)

Abstract

This study addresses the evaluation of schedule time window of a new frequency for a network carrier airline. The ideal schedule for an airline can involve various criteria that consist of commercial and operational constraints. This study proposes a new integrated Best–Worst Method and Technique for Order Preference by Similarity to Ideal Solution based on heterogeneous decision making approach for determining the most suitable schedule. This approach combines the advantages of multi-expert multi-criteria decision analysis, which yields heterogeneous information, with a developed decision making model. In addition, a sensitivity analysis is performed to observe the robustness of the proposed approach. To illustrate the efficiency of the proposed approach, a real world problem at a network carrier airline in Turkey is presented. The results indicate that the flexibility and applicability of the proposed approach can address real-world problems.

Suggested Citation

  • Muhammet Deveci & Rosa Mª Rodríguez & Álvaro Labella & Muharrem Enis Ciftci, 2025. "A decision support system for reducing the strategic risk in the schedule building process for network carrier airline operations," Annals of Operations Research, Springer, vol. 348(2), pages 899-935, May.
    • Handle: RePEc:spr:annopr:v:348:y:2025:i:2:d:10.1007_s10479-022-04999-4
    DOI: 10.1007/s10479-022-04999-4
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    References listed on IDEAS

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    1. Frédéric Quesnel & Guy Desaulniers & Frédéric Quesnel, 2020. "Improving Air Crew Rostering by Considering Crew Preferences in the Crew Pairing Problem," Transportation Science, INFORMS, vol. 54(1), pages 97-114, January.
    2. Xiao, Mei & Chien, Steven & Schonfeld, Paul & Hu, Dawei, 2020. "Optimizing flight equencing and gate assignment considering terminal configuration and walking time," Journal of Air Transport Management, Elsevier, vol. 86(C).
    3. Herrera, F. & Martinez, L. & Sanchez, P. J., 2005. "Managing non-homogeneous information in group decision making," European Journal of Operational Research, Elsevier, vol. 166(1), pages 115-132, October.
    4. Liang, Fuqi & Brunelli, Matteo & Rezaei, Jafar, 2020. "Consistency issues in the best worst method: Measurements and thresholds," Omega, Elsevier, vol. 96(C).
    5. Bongo, Miriam F. & Ocampo, Lanndon A., 2017. "A hybrid fuzzy MCDM approach for mitigating airport congestion: A case in Ninoy Aquino International Airport," Journal of Air Transport Management, Elsevier, vol. 63(C), pages 1-16.
    6. Cacchiani, Valentina & Salazar-González, Juan-José, 2020. "Heuristic approaches for flight retiming in an integrated airline scheduling problem of a regional carrier," Omega, Elsevier, vol. 91(C).
    7. Dožić, Slavica & Lutovac, Tatjana & Kalić, Milica, 2018. "Fuzzy AHP approach to passenger aircraft type selection," Journal of Air Transport Management, Elsevier, vol. 68(C), pages 165-175.
    8. Pandey, Mukesh Mohan, 2020. "Evaluating the strategic design parameters of airports in Thailand to meet service expectations of Low-Cost Airlines using the Fuzzy-based QFD method," Journal of Air Transport Management, Elsevier, vol. 82(C).
    9. Burghouwt, Guillaume & de Wit, Jaap, 2005. "Temporal configurations of European airline networks," Journal of Air Transport Management, Elsevier, vol. 11(3), pages 185-198.
    10. Deveci, Muhammet & Demirel, Nihan Çetin & Ahmetoğlu, Emine, 2017. "Airline new route selection based on interval type-2 fuzzy MCDM: A case study of new route between Turkey- North American region destinations," Journal of Air Transport Management, Elsevier, vol. 59(C), pages 83-99.
    11. Deveci, Muhammet & Özcan, Ender & John, Robert & Öner, Sultan Ceren, 2018. "Interval type-2 hesitant fuzzy set method for improving the service quality of domestic airlines in Turkey," Journal of Air Transport Management, Elsevier, vol. 69(C), pages 83-98.
    12. Keji Wei & Vikrant Vaze, 2020. "Airline Timetable Development and Fleet Assignment Incorporating Passenger Choice," Transportation Science, INFORMS, vol. 54(1), pages 139-163, January.
    13. Rezaei, Jafar, 2015. "Best-worst multi-criteria decision-making method," Omega, Elsevier, vol. 53(C), pages 49-57.
    14. Karaman, Abdullah S. & Akman, Engin, 2018. "Taking-off corporate social responsibility programs: An AHP application in airline industry," Journal of Air Transport Management, Elsevier, vol. 68(C), pages 187-197.
    15. Barak, Sasan & Dahooei, Jalil Heidary, 2018. "A novel hybrid fuzzy DEA-Fuzzy MADM method for airlines safety evaluation," Journal of Air Transport Management, Elsevier, vol. 73(C), pages 134-149.
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