A decision support system for reducing the strategic risk in the schedule building process for network carrier airline operations
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 fo...
| Autores: | , , , |
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| Formato: | artículo |
| Estado: | Versión publicada |
| Fecha de publicación: | 2022 |
| País: | España |
| Recursos: | Universidad de Jaén |
| Repositorio: | RUJA. Repositorio Institucional de la Producción Científica de la Universidad de Jaén |
| OAI Identifier: | oai:dnet:ruja________::74f97cc747cc2b6ab9c87dcd98043eaa |
| Acesso em linha: | https://hdl.handle.net/10953/7828 |
| Access Level: | acceso abierto |
| Palavra-chave: | Network carrier airline Fuzzy sets Best worst method (BMW) TOPSIS Multi-criteria decision making (MCDM) 004.8 |
| Resumo: | 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. |
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