Aircraft Selection Decision Support Model for Fleet Planning of the Low Cost Airlines

Author:

GÜNTUT Cem1ORCID,GÖKDALAY Meriç2ORCID

Affiliation:

1. Türk Hava Yolları A.O

2. TÜRK HAVA KURUMU ÜNİVERSİTESİ

Abstract

In this study, a decision support model was created for the aircraft type selection in the fleet planning decision of a low-cost airline and 21 sub criteria were determined for the model in five main groups as technical, economic, environmental, political and other criteria. In this decision support model, the Fuzzy TOPSIS and Fuzzy MOORA Multi Criteria Decision methods were applied, and 17 different narrow body aircraft types produced by Airbus, Boeing, Embraer, and Airbus/Bombardier aircraft manufacturers were evaluated. In the evaluation, it was found that Airbus A321NEO was the most preferable aircraft for the low-cost airline business model among the aircraft types.

Publisher

Eskisehir Osmangazi University Journal of Economics and Administrative Sciences

Subject

General Medicine

Reference36 articles.

1. Ardil, C. (2020a), “Trainer Aircraft Selection Using Preference Analysis for Reference Ideal Solution (PARIS)”, World Academy of Science. Engineering and Technology International Journal of Aerospace and Mechanical Engineering, 14 (5): 193-204.

2. Ardil, C. (2020b), “Regional Aircraft Selection Using Preference Analysis for Reference Ideal Solution (PARIS)”, World Academy of Science. Engineering and Technology International Journal of Transport and Vehicle Engineering, 14(9):378-388.

3. Ardil, C. (2022), “Aircraft Selection Problem Using Decision Uncertainty Distance in Fuzzy Multiple Criteria Decision Making Analysis”, World Academy of Science, Engineering and Technology, International Journal of Mechanical and Industrial Engineering, Vol:16, No:3: 62-69.

4. Ardil, C.; Pashaev, A. M.; Sadiqov, R. A.; Abdullayev. P. (2019), “Multiple Criteria Decision Making Analysis for Selecting and Evaluating Fighter Aircraft”, World Academy of Science Engineering and Technology, International Journal of Transport and Vehicle Engineering. 13 (11):683-694.

5. Bakır, M.; Akan Ş.; Özdemir, E. (2021), “Regional Aircraft Selection With Fuzzy PIPRECIA and Fuzzy MARCOS: A Case Study of The Turkish Airline Industry”. Facta Universitatics, Series: Mechanical Engineering,19 (3): 423 – 445.

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