Browsing by Author "Feyzioğlu, O."

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Analysis of success factors in aviation 4.0 using integrated intuitionistic fuzzy MCDM methods
(Springer, 2020) Büyüközkan, G.; Feyzioğlu, O.; Havle, Celal Alpay; Professional Flight Program; Kahraman, C.; Cebi, S.; Onar, S. C.; Oztaysi, B.; Tolga, A. C.; Sari, I. U.; HAVLE, Celal Alpay
Recently, emerging digital technologies have launched digital transformation, and it has become a factor that determines the competitiveness of companies, their performance, and digital sustainability. At this point, the aviation industry is one of the areas where digital transformation applications are visible. Both airlines and airports have initiated their digital transformation processes. Just like industry 4.0, the period of aviation 4.0 including airline 4.0 and airport 4.0 has started. Hence, the success of the companies in the aviation industry has become extremely important for their sustainability in terms of aviation 4.0. The aim of this study is then to analyze the success factors of aviation 4.0. The factors are obtained via the literature survey and expert opinions. An integrated approach is used based on intuitionistic fuzzy multi-criteria decision making (IF MCDM) techniques. The weights of the success criteria are calculated by using the IF AHP (Analytic Hierarchy Process). IF VIKOR (Vise Kriterijumska Optimizacija I Kompromisno Resenje) method is used for selection of the most successful company among alternatives. IF helps to eliminate the complexity of real-life problems, an uncertainty of decision-making processes and it allows us to consider hesitation and intuition of decision makers.
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Digital competency evaluation of low-cost airlines using an integrated IVIF AHP and IVIF VIKOR methodology
(Elsevier, 2021-03) Büyüközkan, G.; Havle, Celal Alpay; Feyzioğlu, O.; Professional Flight Program; HAVLE, Celal Alpay
Recently, low-cost airline (LCA) companies have become more attractive. However, emerging digital technologies have transformed the passengers’ profiles. Digital competency has become a crucial matter to capture digital passenger expectations. Hence, the purpose of the study is to introduce a new digital competency evaluation (DCE) model. The proposed model comprises technology transformation & implementation, and also transformation & adaptation management dimensions, with ten criteria and thirty sub-criteria. Criteria weights are calculated using the IVIF AHP method. The results show that the most significant dimension is transformation and adaptation management. The most digitally competent airline is selected through the IVIF VIKOR method. A case study concerning the LCAs is conducted in Turkey to verify the validity of the proposed model.
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Intuitionistic fuzzy cognitive map based analysis of supply chain risks
(Springer, 2021) Büyüközkan, G.; Havle, Celal Alpay; Feyzioğlu, O.; Professional Flight Program; HAVLE, Celal Alpay
Supply chains (SCs) are network-like structures and gigantic systems. Such systems are complex and multifaceted. Therefore, they contain many components and risk factors that are directly or indirectly related to each other. The importance of SCs, which has always been important for companies, is increasing day by day. Therefore, it is vital to focus on supply chain management (SCM) and the risk factors encountered in this management process. Plus, the investigation of the cause-effect relationships, evaluation, and analysis of these factors hold a critical role for SCM. Accordingly, this study aims to reveal the risk factors that should be considered in SCM and analyze these factors. Moreover, the causal relationships of these risk factors are aimed to be revealed. For this purpose, Cognitive Map (CM) approach is utilized. The classical CM approach is expanded to the intuitionistic fuzzy (IF) environment and used as the IFCM approach to eliminate the uncertainty and intuition involved in real-life problems and decision-making processes. SC risk factors’ importance degrees and causal relations between the factors are displayed and visualized.