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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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