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

Year 2023, Volume: 18 Issue: 2, 460 - 478, 01.08.2023
https://doi.org/10.17153/oguiibf.1253980

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.

References

  • 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.
  • 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.
  • 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.
  • 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.
  • 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.
  • Belobaba, P. (2009), “The Airline Planning Process”, (Ed.P. Belobaba, A. Odoni, C. Barnhart), The Global Airline Industry, John Wiley and Sons Ltd Press: West Sussex: 153-182.
  • Brauers, W. K.; Zavadskas, E. K. (2006), The MOORA method and its application to privatization in a transition economy, Control and Cybernetics, 35: 445-469.
  • Bruno, G.; Esposito, E. and Genovese, A. (2015), “A Model for Aircraft Evaluation to Support Strategic Decisions”, Expert Systems with Applications, 42, 5580- 5590.
  • Brüggen, A.; Klose, L. (2010), “How fleet commonality influences low-cost airline operating performance: Empirical evidence”, Journal of Air Transport Management, 16 (6): 299-303.
  • Chen, C.T. (2000), “Extensions of the TOPSIS For Group Decision Making Under Fuzzy Environment”, Fuzzy Sets and Systems, 114 (1): 1-9.
  • Delice, E.K. (2016), “A Fuzzy Multicriteria Model For Airline Companies”, Journal of the Faculty of Engineering and Architecture of Gazi University, 31(2): 263-276.
  • Demirci, A.E. (2016), “Düşük Maliyetli Havayolu İşletmeleri”, (Ed. E. Gerede. A.E. Demirci) Havayolu Yönetimi, Eskişehir, Anadolu Üniversitesi Kitapları: 211.
  • Deveci, M.; Öner, C.; Ciftci, M.E.; Özcan, E.; Pamucar, D. (2022), “Interval type-2 hesitant fuzzy Entropy-based WASPAS approach for aircraft type selection”, Applied Soft Computing, 114 (108076).
  • Dožić, S.; Lutovac, T.; Kalić, M. (2018), “Fuzzy AHP approach to passenger aircraft type selection”, Journal of Air Transport Management, 68: 165-175.
  • Doziç, S.; Kaliç, M. (2015), “Aircraft Type Selection Problem: Application of Different MCDM Methods”, Transport Research Procedia, 3: 165 – 174.
  • Gomes, L.F.A.M.; Fernandes, J.E.M.; Mello, J.C.C. (2014), “A Fuzzy Stochastic Approach To The Multicriteria Selection Of An Aircraft For Regional Chartering”, Journal of Advanced Transportation, 48(3): 223-237.
  • Gökdalay, M.; Evren, G. (2009), “Havaalanlarının Performans Analizinde Bulanık Çok Ölçütlü Karar Verme Yaklaşımı” İTÜ dergisi/d mühendislik, 8 (6): 157-168.
  • Gürün, A. (2015), Sivil havacılık sektöründe iş jeti modeli seçimi: AHP Uygulaması” Eskişehir: Anadolu Üniversitesi, Sosyal Bilimler Enstitüsü.
  • Hoan, P. V.; Ha, Y. (2021), “ARAS-FUCOM approach for VPAF fighter aircraft selection”, Decision Science Letters, 10: 53–62.
  • Ilgin, M.A. (2019), “Aircraft Selection Using Linear Physical Programming”, Journal of Aeronautics and Space Technologies, 12(2): 121-128.
  • Kiracı, K.; Bakır M. (2018a), “Using the multi-criteria decision-making methods in aircraft selection problems and an application", Journal of Transportation and Logistics, 3(1): 13-24.
  • Kiracı, K.; Bakır, M. (2018b), “Application Of Commercial Aircraft Selection In Aviation Industry Through Multi-Criteria Decision Making Methods”, Manisa Celal Bayar Üniversitesi Sosyal Bilimler Dergisi, 16(4): 307-332.
  • Kiracı, K.; Akan, E. (2020), “Aircraft selection by applying AHP and TOPSIS in interval type-2 fuzzy sets”, Journal of Air Transport Management, 89 (101924).
  • Kocakaya, K.; Engin, T.; Tektaş, M. (2021), “Türkiye’de Bölgesel Havayolları için Uçak Tipi Seçimi: Küresel Bulanık AHP-TOPSIS Yöntemlerinin Entegrasyonu”, Akıllı Ulaşım Sistemleri ve Uygulamaları Dergisi, 4 (1), 27– 58.
  • Küçükyılmaz, A.; Malagas, K.; Javad M.; Nikitakos, N. (2020), “Aircraft selection process with Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) and AHP Integration”, International Journal of Sustainable Aviation, 6 (3), 220-235.
  • Ozdemir, Y.; Basligil, H.; Karaca, M. (2011), “Aircraft Selection Using Analytic Network Process: A Case for Turkish Airlines, The World Congress on Engineering, London, (1155-1159), July 6-8. (http://www.iaeng.org/publication/WCE2011/WCE2011_pp.pdf).
  • Razmi, J.S.; Jafari, M.; Khahbaz, M.H. (2009), “An Integrated Fuzzy Group Decision Making/ Fuzzy Linear Programming (FGDMLP) Framework For Supplier Evaluation And Order Allocation”, International Journal of Advanced Manufacturing Technology, 43: 590-607.
  • Sanchez-Lozano, J.M.J.; Serna. J.; Dolon-Payan, A. (2015). “Evaluating Military Training Aircraft Through the Combination of Multi-Criteria Decision Making Processes with Fuzzy Logic, A Case Study in the Spanish Air Force Academy" Aerospace Science And Technology, 42: 58-65.
  • Semercioğlu, H.; Özkoç, H. (2019), “Analitik Hiyerarşi Proses ile Desteklenmiş Sosyal Seçim Teorisi: Havayollarında Uçak Seçim Süreci”, Sosyal ve Beşeri Bilimler Araştırmaları Dergisi, 20 (44): 67-92.
  • Sk, K.A.; Gowthaman, S.; Golam, K.; Syed, M.A. (2020), “Regional aircraft selection integrating fuzzy analytic hierarchy process (FAHP) and efficacy method”, Journal of Production Systems and Manufacturing Science, 1(2): 63-86.
  • Sun, X.; Gollnick, V.; Stumpf, E. (2011), “Robustness Consideration in Multi‐Criteria Decision Making To An Aircraft Selection Problem”, Journal of Multicriteria Decision Analysis, 18 (1-2): 55-64.
  • Şişman, B. (2016), “Evaluating And Selection of Green Supplier Development Programs by Using Fuzzy MOORA”, Journal of Yasar University,11(44), 302-315.
  • Wang, T. C.; Chang, T. H. (2007), “Application of TOPSIS in evaluating initial training aircraft under a fuzzy environment”, Expert Systems with Applications, 33(4): 870-880.
  • Wang, Y.M; Elhag, M.S.T. (2006), “Fuzzy TOPSIS Method based on Alpha Level Sets With an Application to Bridge Risk Assessment”, Expert Systems, 31: 310-314.
  • Yılmaz. S. (2006), Uçak Seçim Kriterlerinin Değerlendirmesinde AHP ve Bulanık AHP Uygulaması, İstanbul Yıldız Teknik Üniversitesi. Fen Bilimleri Enstitüsü.
  • Zadeh, L.A. (1965), “Fuzzy sets”, Information and Control, 8: 338-353.

Düşük Maliyetli Havayollarının Filo Planlaması için Uçak Seçimi Karar Destek Modeli

Year 2023, Volume: 18 Issue: 2, 460 - 478, 01.08.2023
https://doi.org/10.17153/oguiibf.1253980

Abstract

Bu çalışmada, düşük maliyetli havayolunun filo planlama kararında uçak tipi seçimi için bir karar destek modeli oluşturulmuş ve model için teknik, ekonomik, çevresel, politik ve diğer kriterler olmak üzere 5 ana grup kriteri içinde 21 alt kriter belirlenmiştir. Bu karar destek modelinde Bulanık TOPSIS ve Bulanık MOORA çok kriterli karar verme yöntemleri kullanılmış ve Airbus, Boeing, Embraer ve Airbus/Bombardier uçak üreticilerine ait 17 farklı dar gövde uçak tipleri değerlendirmeye alınmıştır. Değerlendirmede uçak tipleri içinde düşük maliyetli havayolu iş modeli için en uygun ve tercih edilen uçağın Airbus A321 NEO olduğu belirlenmiştir.

References

  • 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.
  • 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.
  • 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.
  • 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.
  • 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.
  • Belobaba, P. (2009), “The Airline Planning Process”, (Ed.P. Belobaba, A. Odoni, C. Barnhart), The Global Airline Industry, John Wiley and Sons Ltd Press: West Sussex: 153-182.
  • Brauers, W. K.; Zavadskas, E. K. (2006), The MOORA method and its application to privatization in a transition economy, Control and Cybernetics, 35: 445-469.
  • Bruno, G.; Esposito, E. and Genovese, A. (2015), “A Model for Aircraft Evaluation to Support Strategic Decisions”, Expert Systems with Applications, 42, 5580- 5590.
  • Brüggen, A.; Klose, L. (2010), “How fleet commonality influences low-cost airline operating performance: Empirical evidence”, Journal of Air Transport Management, 16 (6): 299-303.
  • Chen, C.T. (2000), “Extensions of the TOPSIS For Group Decision Making Under Fuzzy Environment”, Fuzzy Sets and Systems, 114 (1): 1-9.
  • Delice, E.K. (2016), “A Fuzzy Multicriteria Model For Airline Companies”, Journal of the Faculty of Engineering and Architecture of Gazi University, 31(2): 263-276.
  • Demirci, A.E. (2016), “Düşük Maliyetli Havayolu İşletmeleri”, (Ed. E. Gerede. A.E. Demirci) Havayolu Yönetimi, Eskişehir, Anadolu Üniversitesi Kitapları: 211.
  • Deveci, M.; Öner, C.; Ciftci, M.E.; Özcan, E.; Pamucar, D. (2022), “Interval type-2 hesitant fuzzy Entropy-based WASPAS approach for aircraft type selection”, Applied Soft Computing, 114 (108076).
  • Dožić, S.; Lutovac, T.; Kalić, M. (2018), “Fuzzy AHP approach to passenger aircraft type selection”, Journal of Air Transport Management, 68: 165-175.
  • Doziç, S.; Kaliç, M. (2015), “Aircraft Type Selection Problem: Application of Different MCDM Methods”, Transport Research Procedia, 3: 165 – 174.
  • Gomes, L.F.A.M.; Fernandes, J.E.M.; Mello, J.C.C. (2014), “A Fuzzy Stochastic Approach To The Multicriteria Selection Of An Aircraft For Regional Chartering”, Journal of Advanced Transportation, 48(3): 223-237.
  • Gökdalay, M.; Evren, G. (2009), “Havaalanlarının Performans Analizinde Bulanık Çok Ölçütlü Karar Verme Yaklaşımı” İTÜ dergisi/d mühendislik, 8 (6): 157-168.
  • Gürün, A. (2015), Sivil havacılık sektöründe iş jeti modeli seçimi: AHP Uygulaması” Eskişehir: Anadolu Üniversitesi, Sosyal Bilimler Enstitüsü.
  • Hoan, P. V.; Ha, Y. (2021), “ARAS-FUCOM approach for VPAF fighter aircraft selection”, Decision Science Letters, 10: 53–62.
  • Ilgin, M.A. (2019), “Aircraft Selection Using Linear Physical Programming”, Journal of Aeronautics and Space Technologies, 12(2): 121-128.
  • Kiracı, K.; Bakır M. (2018a), “Using the multi-criteria decision-making methods in aircraft selection problems and an application", Journal of Transportation and Logistics, 3(1): 13-24.
  • Kiracı, K.; Bakır, M. (2018b), “Application Of Commercial Aircraft Selection In Aviation Industry Through Multi-Criteria Decision Making Methods”, Manisa Celal Bayar Üniversitesi Sosyal Bilimler Dergisi, 16(4): 307-332.
  • Kiracı, K.; Akan, E. (2020), “Aircraft selection by applying AHP and TOPSIS in interval type-2 fuzzy sets”, Journal of Air Transport Management, 89 (101924).
  • Kocakaya, K.; Engin, T.; Tektaş, M. (2021), “Türkiye’de Bölgesel Havayolları için Uçak Tipi Seçimi: Küresel Bulanık AHP-TOPSIS Yöntemlerinin Entegrasyonu”, Akıllı Ulaşım Sistemleri ve Uygulamaları Dergisi, 4 (1), 27– 58.
  • Küçükyılmaz, A.; Malagas, K.; Javad M.; Nikitakos, N. (2020), “Aircraft selection process with Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) and AHP Integration”, International Journal of Sustainable Aviation, 6 (3), 220-235.
  • Ozdemir, Y.; Basligil, H.; Karaca, M. (2011), “Aircraft Selection Using Analytic Network Process: A Case for Turkish Airlines, The World Congress on Engineering, London, (1155-1159), July 6-8. (http://www.iaeng.org/publication/WCE2011/WCE2011_pp.pdf).
  • Razmi, J.S.; Jafari, M.; Khahbaz, M.H. (2009), “An Integrated Fuzzy Group Decision Making/ Fuzzy Linear Programming (FGDMLP) Framework For Supplier Evaluation And Order Allocation”, International Journal of Advanced Manufacturing Technology, 43: 590-607.
  • Sanchez-Lozano, J.M.J.; Serna. J.; Dolon-Payan, A. (2015). “Evaluating Military Training Aircraft Through the Combination of Multi-Criteria Decision Making Processes with Fuzzy Logic, A Case Study in the Spanish Air Force Academy" Aerospace Science And Technology, 42: 58-65.
  • Semercioğlu, H.; Özkoç, H. (2019), “Analitik Hiyerarşi Proses ile Desteklenmiş Sosyal Seçim Teorisi: Havayollarında Uçak Seçim Süreci”, Sosyal ve Beşeri Bilimler Araştırmaları Dergisi, 20 (44): 67-92.
  • Sk, K.A.; Gowthaman, S.; Golam, K.; Syed, M.A. (2020), “Regional aircraft selection integrating fuzzy analytic hierarchy process (FAHP) and efficacy method”, Journal of Production Systems and Manufacturing Science, 1(2): 63-86.
  • Sun, X.; Gollnick, V.; Stumpf, E. (2011), “Robustness Consideration in Multi‐Criteria Decision Making To An Aircraft Selection Problem”, Journal of Multicriteria Decision Analysis, 18 (1-2): 55-64.
  • Şişman, B. (2016), “Evaluating And Selection of Green Supplier Development Programs by Using Fuzzy MOORA”, Journal of Yasar University,11(44), 302-315.
  • Wang, T. C.; Chang, T. H. (2007), “Application of TOPSIS in evaluating initial training aircraft under a fuzzy environment”, Expert Systems with Applications, 33(4): 870-880.
  • Wang, Y.M; Elhag, M.S.T. (2006), “Fuzzy TOPSIS Method based on Alpha Level Sets With an Application to Bridge Risk Assessment”, Expert Systems, 31: 310-314.
  • Yılmaz. S. (2006), Uçak Seçim Kriterlerinin Değerlendirmesinde AHP ve Bulanık AHP Uygulaması, İstanbul Yıldız Teknik Üniversitesi. Fen Bilimleri Enstitüsü.
  • Zadeh, L.A. (1965), “Fuzzy sets”, Information and Control, 8: 338-353.
There are 36 citations in total.

Details

Primary Language English
Journal Section Articles
Authors

Cem Güntut 0000-0003-1894-941X

Meriç Gökdalay 0000-0002-2295-8039

Publication Date August 1, 2023
Submission Date February 20, 2023
Published in Issue Year 2023 Volume: 18 Issue: 2

Cite

APA Güntut, C., & Gökdalay, M. (2023). Aircraft Selection Decision Support Model for Fleet Planning of the Low Cost Airlines. Eskişehir Osmangazi Üniversitesi İktisadi Ve İdari Bilimler Dergisi, 18(2), 460-478. https://doi.org/10.17153/oguiibf.1253980