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HAVLE, Celal Alpay

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Celal Alpay

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Now showing 1 - 10 of 11
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    A new digital service quality model and its strategic analysis in aviation industry using interval-valued intuitionistic fuzzy AHP
    (Elsevier, 2020-07) Buyukozkan, G.; Havle, Celal Alpay; Feyzioglu, O.; Professional Flight Program; HAVLE, Celal Alpay
    Today, airline companies have to provide digital products and services to ensure customer satisfaction. Accordingly, classical service quality models are not sufficient to capture customer expectations, and new digital service quality (DSQ) models should emerge. This study aims to propose a new and genuine DSQ model. The proposed model consists of digital tangibles, reliability, digital interaction, digital trust, and customer-centricity dimensions; and 35 criteria related to them. Importance degrees of criteria are determined with the IVIF AHP method. The validity of the proposed model is verified, employing a real case concerning the Turkish airline industry. The results show that the most significant dimension is digital trust, and the three most important criteria are proactive customer service, cybersecurity, and customer insight.
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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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    Conference paperPublicationMetadata only
    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.
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    An integrated SWOT based fuzzy AHP and fuzzy MARCOS methodology for digital transformation strategy analysis in airline industry
    (Elsevier, 2021-10) Büyüközkan, G.; Havle, Celal Alpay; Feyizoğlu, O.; Professional Flight Program; HAVLE, Celal Alpay
    Driven by business strategies, digital transformation (DT) facilitates dramatic change in air passenger behavior. This study aims to determine and analyze different DT strategies (DTSs) with the help of an integrated SWOT-based fuzzy AHP-MARCOS methodology that is proposed for the first time in the literature for this purpose. This methodology is validated with a case study concerning the airline industry in Turkey. The weights of the SWOT factors are determined with the fuzzy AHP method. The fuzzy MARCOS approach is used to select the most suitable DTS. The most appropriate strategy is obtained as “focusing on differentiated digital customer experience and service quality by the adaptation of business models to DT to provide benefits”.
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    Conference paperPublicationMetadata only
    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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    Modernizing data and cloud practices: A review and model proposal for future studies
    (IEEE, 2023) Havle, Celal Alpay; Kılıç, Sena; Üçler, Çağlar; Professional Flight Program; Aviation Management; HAVLE, Celal Alpay; KILIÇ, Sena; ÜÇLER, Çağlar
    The interaction of society is transforming towards connectivity and digital experiences. This results in big data which cannot be utilized and managed by companies in an efficient way. Despite various applications of the cloud and other advanced technologies, companies cannot distinguish essential information adequately. Consequently, there is a need for data modernization, but there are only partial modernization solutions and no incorporative model. Thus, a literature review was leveraged to isolate 15 related criteria, which are then grouped under 3 main dimensions (i) business, (ii) organizational and cultural, and (iii) technical, which then delivers a generic model suitable to guide and measure the transformation of companies.
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    Enablers for industry 4.0
    (IEEE, 2018-12-10) Havle, Celal Alpay; Üçler, Çağlar; Professional Flight Program; HAVLE, Celal Alpay; ÜÇLER, Çağlar
    Both, globalization and technological advancements do motivate manufacturing organizations to adopt Industry 4.0 practices. It implies an evolutional transformation, which aggregates advanced technologies and cyber-physical interactions. Some of required capabilities are already existing in companies, but some have to be developed/ adopted. The purpose of this paper is to isolate these enables required for Industry 4.0. Consequently, extensive literature review was carried out to synthesize the enablers for Industry 4.0, which are further grouped in an associated Mind Map. The main enablers were isolated as human, organization and technology in the higher level with associated subordinated enablers in an organized manner. The scientific implication is that this Mind Map can be used in analysis, when introducing weighs and importance factors. Practically, the mind map embodies a body of knowledge, i.e. the enablers, that have to be internalized by managers to achieve Industry 4.0 practices. Existing Industry 4.0 research is either focusing on partial topics in depth, or it gives a general overview of readiness for Industry 4.0, which is a wide collection of factors. To our best knowledge there is no similar work guiding throughout enablers visually, easing the adaptation process.
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    A hybrid approach based on the fuzzy AHP and HFACS framework for identifying and analyzing gross navigation errors during transatlantic flights
    (Elsevier, 2019-05) Havle, Celal Alpay; Kılıç, Bilal; Professional Flight Program; HAVLE, Celal Alpay; KILIÇ, Bilal
    Despite the considerable efforts to alleviate problems of North Atlantic (NAT) air traffic and implementation of novel surveillance systems, oceanic errors still remain stubbornly high. The purpose of this study is to identify and examine the factors that contribute to navigation errors in the NAT Region by integrating a Fuzzy Analytic Hierarchy Process (FAHP) into the Human Factors Analysis and Classifying System (HFACS) framework for the first time to the best of our knowledge. According to the priority weights, the most important factors contributing to oceanic errors are lack of training provided by airlines, use of inappropriate routes for oceanic crossing by dispatchers, and failure to take preventive measures against oceanic errors. To mitigate the possibility of the aforementioned errors, pilots as individuals must increase their knowledge on cockpit procedures and airlines as organizations have to pay particular attention to training programs to implement appropriate preventive actions.
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    Sustainable future technology evaluation with digital transformation perspective in air cargo industry using IF ANP method
    (Springer, 2023) Havle, Celal Alpay; Büyüközkan, G.; Professional Flight Program; HAVLE, Celal Alpay
    Sustainability is one of the most critical issues of recent years. Many companies that contribute to the global economy focus on sustainability studies more than ever. On the other hand, technological developments lead companies to digital transformation. This situation necessitated the adoption of a sustainability approach that includes digital transformation and digital technologies. Therefore, it is critical for companies embarking on a transformation journey to invest in technologies that support sustainability. Advances in technology and digital transformation have contributed to the growth of e-commerce volume globally. However, this has led to the growth and complexity of supply chain networks. One of the biggest players in this network structure is undoubtedly the air cargo industry. The air cargo industry plays a critical role in the sustainability of the global economy, employment, social development, and the environment. Therefore, this study proposes a new model for the evaluation of sustainable future technologies in the air cargo industry from the perspective of digital transformation. Multi-criteria decision-making (MCDM) approach was adopted in the study. The intuitionistic fuzzy analytical network process (IF ANP) is used to validate the proposed model in a real case conducted in the Turkish air cargo industry.
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    Conference paperPublicationOpen Access
    Risk analysis of ports in maritime industry in Turkey using fmea based intuitionistic fuzzy TOPSIS approach
    (EDP Sciences, 2018) Senel, M.; Senel, B.; Havle, Celal Alpay; Professional Flight Program; HAVLE, Celal Alpay
    Today, international trade is extremely important for countries' economies. It is possible to show the ship's transport as one of the most important execution channels of this trade. International commercial maritime transport subject to many rules and regulations carries many risks in processes such as loading, handling and unloading. Commercial ports are the places where these risks are seen intensely. From this point, many risk components in terms of the process in the port, one of the international commercial port in Turkey, based on a risk analysis is tried to be evaluated in this study. Especially, loading and unloading processes are focused with the directions of industrial experts. The main dimensions of the risks in the port are determined via expert opinions, and the sub-criteria of these dimensions are revealed. In this way, a generic model is proposed based on failure mode and effect analysis and the model is digitized using intuitionistic fuzzy TOPSIS. Interpretations are made in the direction of the obtained analysis results.