Businesses benefit from forecasting, because it enables them to create data-driven plans and make well-informed business decisions. Defective product forecasting, on the other hand, predicts future defective parts for a company and ensures that the company is prepared for these shortcomings. This study's objective is to examine the defective parts arriving at the workshops monthly for 10 different products that are most frequently encountered by a large airline maintenance and repair company by using quantitative forecasting techniques, to determine the most appropriate forecasting model and to predict the number of defective products for the following periods. The study's data for the time frame January 2021 - December 2022 were used. With this data, defective product forecast for 2023 was made. Four different numerical forecasting methods were used and the forecasting efficiency of these four different models was determined by Mean Absolute Error (MAE), Mean Square Error (MSE) and Mean Absolute Percentage Error (MAPE) measures. Because of the research, Simple Exponential Smoothing Method (α = 0.90) gave the most successful prediction results, while Holt-Winters Method (α = 0.50, β = 0.30, γ = 0.80) gave the least successful prediction results. Therefore, this study shows how effective it is to use quantitative prediction techniques in the prediction of defective parts. In future research, different methods perhaps the study can incorporate machine learning algorithms to advance improve prediction accuracy and adaptability.
This study analyzes online complaints submitted by passengers of a low-cost airline in Türkiye regarding cabin crew. The research dataset comprises 350 passenger complaints posted on the Şikayetvar platform from 2020 to 2024. The data was analyzed using MAXQDA software. The thematic analysis revealed four primary themes: relational inadequacies, crisis-management deficiencies, procedural-justice shortcomings, and service-process disruptions. The study's findings indicate that interactions with cabin crew extend beyond operational responsibilities; social factors such as communication, empathy, information dissemination, and perceived justice significantly influence passenger satisfaction. This study contributes to the literature and practice by thematically analyzing online complaints about cabin crew in Türkiye.
Mustafa Özgür Deveci, Özgür Balli, Tamer Saraçyakupoğlu
This study presents a detailed metallurgical analysis of the fracture failure that occurred at the hinge of the refueling door assembly located on the upper fuselage of the F-16 aircraft. The findings revealed that the fracture of the hinge’s auricle section resulted from a monotonic overload caused by an impact between the refueling boom and the door assembly due to improper alignment during in-flight refueling operations. Optical and Scanning Electron Microscopy (SEM) were used to characterize the fracture surface, enabling the identification of brittle cleavage features, river patterns, and the absence of fatigue striations, all indicative of a single overload event rather than cyclic fatigue. The study further observed visible evidence of mechanical distress, such as paint removal, dents, and scratches, corroborating the overload-induced impact mechanism. The findings underscore that even components designed to stringent aerospace standards may experience catastrophic failure when subjected to off axis loads and operational misalignment. Future studies may include finite element modeling to assess hinge redesign strategies under off-axis loading, as well as investigations into alternative materials and design modifications to enhance durability.
Additive manufacturing (AM) is extensively used in industry with its expanding application areas. The use of additive manufacturing in the aviation industry offers a series of advantages such as lightweight, ease of production and cost effectiveness. Cabin interior components of an airplane constitute approximately 10 percent of its entire weight, and many of these items are visible to passengers. Therefore, the appearance of these parts is an important concern. In this context, it is important to manufacture additively manufactured cabin interior parts with good surface quality since it is challenging to achieve optimal surface finish. In this study, surface roughness of overhead bin latch housings were compared which were manufactured with Selective Laser Sintering (SLS) and Fused Deposition Modeling (FDM). Mechanical profilometer and optical profilometer were used for measurement of roughness values and obtaining surface topography. Considering the manufacturing method and surface finish processes, an evaluation was conducted to assess alternative materials for replacing the original product.
Consciousness and attitudes toward carbon offsetting within the airline industry hold critical significance for advancing environmental sustainability. This study investigates the mediating role of CSR perception in the relationship between environmental consciousness and passenger attitudes toward airline carbon offsetting. Using an integrated analytical framework, the research examines how environmental consciousness shapes CSR perceptions and, in turn, influences attitudes toward voluntary carbon offsetting initiatives. The findings indicate that higher levels of environmental consciousness are associated with stronger CSR perceptions and more favorable attitudes toward carbon offsetting. Moreover, CSR perception emerges as a key intermediary mechanism through which environmental consciousness translates into supportive passenger attitudes. Overall, the results suggest that sustainability-oriented corporate practices complement individual environmental consciousness in shaping positive attitudes toward carbon offsetting. By simultaneously increasing environmental awareness and enhancing the visibility of corporate responsibility initiatives, airline companies may more effectively contribute to long-term sustainability goals and emissions reduction efforts. This study offers an original contribution by addressing environmental consciousness, CSR perception, and carbon offsetting attitudes within a unified conceptual model in the airline industry context.
This study examines the impact of disruptive passenger behaviors on cabin crew emotions and stress management, as well as the organizational resources and procedures influencing responses to these behaviors. Semi-structured interviews were conducted with 18 cabin crew members from international airlines in İstanbul. The transcripts were analyzed using MAXQDA through content analysis with double-coding and consensus resolution. The analysis focuses on three aspects: (1) types/frequency of unruly behaviors, (2) emotional reactions and coping strategies, and (3) perceived quality of organizational support and training, with intra-crew collaboration as a key theme. Common behaviors included in-cabin smoking, alcohol-related aggression, seat-belt violations, and loud quarrelling, with severe incidents involving physical assault. Emotional reactions included anxiety, anger, and helplessness, with emotional numbing as a short-term control strategy that preserves performance but may have interpersonal costs. Stress management strategies involved team resilience, procedural de-escalation, and peer support. While access to a psychologist and clear procedures were valued, limitations in feedback loops and psychological follow-up were noted. The findings advocate for a multi-tiered intervention model that focuses on employee well-being, which is essential for flight safety, and emphasize the importance of collaboration in airline policies and training programs.
The green airport approach aims to increase sustainability by ensuring that the environmental impacts of airport operations are minimized. In this context, the purpose of this study is to reveal students' awareness levels regarding the sustainability dimensions of green airport applications in terms of carbon footprint, waste management, and energy efficiency. The research data was carried out through a survey that administered 400 students. Students are undergraduate and associate degree students who received training on green airport applications at Cappadocia University. According to the research findings, it was determined that educational level and gender did not have a significant effect on students' awareness levels. In addition, it was determined that environmental sustainability course significantly increased students' awareness levels, particularly in the areas of carbon footprint and waste management within the scope of green airport practices. It was revealed that students consider sustainability important within the framework of green airport practices and that these practices need to be implemented in a holistic manner. Furthermore, positive and meaningful correlations were observed among the variables related to the level of awareness regarding green airport practices. It was concluded that students' level of awareness regarding green airport practices is high and that this awareness increases their attitudes and behaviors towards sustainability practices in parallel.
