REGIONAL AIRCRAFT SELECTION WITH FUZZY PIPRECIA AND FUZZY MARCOS: A CASE STUDY OF THE TURKISH AIRLINE INDUSTRY

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Bakir M., AKAN Ş., Ozdemir E.

FACTA UNIVERSITATIS-SERIES MECHANICAL ENGINEERING, cilt.19, sa.3, ss.423-445, 2021 (SCI-Expanded) identifier identifier

  • Yayın Türü: Makale / Tam Makale
  • Cilt numarası: 19 Sayı: 3
  • Basım Tarihi: 2021
  • Doi Numarası: 10.22190/fume210505053b
  • Dergi Adı: FACTA UNIVERSITATIS-SERIES MECHANICAL ENGINEERING
  • Derginin Tarandığı İndeksler: Science Citation Index Expanded (SCI-EXPANDED), Social Sciences Citation Index (SSCI), Scopus, Academic Search Premier, zbMATH, Directory of Open Access Journals
  • Sayfa Sayıları: ss.423-445
  • Anahtar Kelimeler: Fuzzy Sets Theory, PIPRECIA, MARCOS, Regional Aircraft Selection, Passenger Perceptions, MULTICRITERIA DECISION-MAKING, SERVICE QUALITY, TRAINING AIRCRAFT, MODEL, EFFICIENCY, FRAMEWORK, CRITERIA, WEIGHTS, TOPSIS
  • Anadolu Üniversitesi Adresli: Evet

Özet

Aircraft selection is an important issue in achieving long-term goals in the airline industry. For this issue in which multiple conflicting criteria are involved, the extant literature points to the use of multi-criteria decision-making (MCDM) methods. In this respect, this study aims to propose a systematic and comprehensive framework with a focus on the regional aircraft selection perspective. To achieve this, an integrated fuzzy Pivot Pairwise Relative Criteria Importance Assessment (F-PIPRECIA) and fuzzy Measurement Alternatives and Ranking according to the Compromise Solution (F-MARCOS) approach was employed. In this study, in which six regional aircraft alternatives were evaluated according to 14 criteria, data were collected from five decision experts. As a result, it was found that the most pivotal criterion is C33 (Operational Cost), and the least important criterion is C12 (NOx). In addition, CR11000 was identified as the most promising regional aircraft alternative. The results of the application were further validated by applying a three-stage sensitivity analysis. The proposed structure is anticipated to assist airline managers in aircraft selection decisions under uncertainty by offering a robust and systematic tool.