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

Muhammet Deveci (), Rosa Mª Rodríguez (), Álvaro Labella () and Muharrem Enis Ciftci ()
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Muhammet Deveci: Imperial College London
Rosa Mª Rodríguez: University of Jaén
Álvaro Labella: University of Jaén
Muharrem Enis Ciftci: Istanbul Atlas University

Annals of Operations Research, 2025, vol. 348, issue 2, No 6, 899-935

Abstract: 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.

Keywords: Network carrier airline; Fuzzy sets; Best worst method (BMW); TOPSIS; Multi-criteria decision making (MCDM) (search for similar items in EconPapers)
Date: 2025
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DOI: 10.1007/s10479-022-04999-4

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