Tugrul Oktay and Yüksel Eraslan
The purpose of this paper is to improve autonomous flight performance of a fixed-wing unmanned aerial vehicle (UAV) via simultaneous morphing wingtip and control system design…
Abstract
Purpose
The purpose of this paper is to improve autonomous flight performance of a fixed-wing unmanned aerial vehicle (UAV) via simultaneous morphing wingtip and control system design conducted with optimization, computational fluid dynamics (CFD) and machine learning approaches.
Design/methodology/approach
The main wing of the UAV is redesigned with morphing wingtips capable of dihedral angle alteration by means of folding. Aircraft dynamic model is derived as equations depending only on wingtip dihedral angle via Nonlinear Least Squares regression machine learning algorithm. Data for the regression analyses are obtained by numerical (i.e. CFD) and analytical approaches. Simultaneous perturbation stochastic approximation (SPSA) is incorporated into the design process to determine the optimal wingtip dihedral angle and proportional-integral-derivative (PID) coefficients of the control system that maximizes autonomous flight performance. The performance is defined in terms of trajectory tracking quality parameters of rise time, settling time and overshoot. Obtained optimal design parameters are applied in flight simulations to test both longitudinal and lateral reference trajectory tracking.
Findings
Longitudinal and lateral autonomous flight performances of the UAV are improved by redesigning the main wing with morphing wingtips and simultaneous estimation of PID coefficients and wingtip dihedral angle with SPSA optimization.
Originality/value
This paper originally discusses the simultaneous design of innovative morphing wingtip and UAV flight control system for autonomous flight performance improvement. The proposed simultaneous design idea is conducted with the SPSA optimization and a machine learning algorithm as a novel approach.
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The current Industry 4.0 era is considered not only as a process that dominates technological developments but also as a process that influences the leadership styles. Management…
Abstract
The current Industry 4.0 era is considered not only as a process that dominates technological developments but also as a process that influences the leadership styles. Management 4.0 is essential for businesses to find and apply the appropriate technologies in the age of Industry 4.0. The leadership styles that business managers will adopt in order to be successful in this process and to survive in an intensely competitive environment can play an important role. At this point, a significant problem arises: identifying leadership styles that will bring success. In this context, the primary purpose of this chapter is to explain the modern leadership styles that business managers can adopt or follow in the age of Industry 4.0. In line with this purpose, the chapter first describes the historical development of leadership, leadership theories and modern leadership styles, such as transactional, transformational, technological, strategic, visionary and agile leadership, and all these concepts are discussed based on the Industry 4.0 perspective.
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Nisrein Jamal Abu-Darwish, Mohammed Mufaddy Al-Kasasbeh and Mohammad Mansour Al-Khasawneh
This study aims to identify the relationship between talent management and competitive advantages through cloud computing as a mediating factor in the private health sector in…
Abstract
Purpose
This study aims to identify the relationship between talent management and competitive advantages through cloud computing as a mediating factor in the private health sector in Jordan.
Design/methodology/approach
To achieve the study, a questionnaire was developed as the main tool for data collection, which consisted of (39) paragraphs. Sequentially, the population of the study consisted of (200) outpatient clinics for private hospitals, therapeutic and diagnostic centers in the private health sector in Jordan. While (150) questionnaires were distributed to a random sample from the study population, (136) questionnaires were retrieved, (134) of them were valid for statistical analysis. Therefore, the percentage of return and valid questionnaires is (89.3%) out of the total distributed questionnaires.
Findings
Consequently, the results showed there is a statistically significant impact of talent management on the competitive advantages through cloud computing in the private health sector in Jordan.
Research limitations/implications
Based on the results reached, the study included some implications such as, enhancing the awareness of the importance of talent management in the private health sector and direct them toward the application of its practices because its role in achieving competitive advantages, increase its ability to survive and continue in the competitive environment.
Practical implications
Decision-makers of the private health sector are advised to prepare comprehensive plans that allow private health organizations to benefit more from cloud computing and the services it provides.
Originality/value
The importance of this study derives from linking important factors such as talent management, competitive advantages and cloud computing in one of the most vital sectors in Jordan, which is considered one of the critical tributaries of the Jordanian economy.
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This study aimed to determine the expectations of students from mathematics teachers in the planning phase of lesson study (LS) in mathematics classrooms.
Abstract
Purpose
This study aimed to determine the expectations of students from mathematics teachers in the planning phase of lesson study (LS) in mathematics classrooms.
Design/methodology/approach
This study reported only a part of large-scale action research. The participants were Grade 8 students selected by the convenience sampling method. The data were obtained through open-ended questions. The content analysis method was used to analyze the data.
Findings
Four categories emerged: connection, technology-supported teaching, use of concrete materials, practice, and teacher behavior and teaching style.
Research limitations/implications
This study reveals how students in a different culture and education system, such as Türkiye, want to learn mathematics in the LS process of Japanese origin. It also gives some important clues for applying LS in a different culture.
Practical implications
This study may attract the attention of educational stakeholders who want to implement LS in mathematics classrooms by considering student perspectives.
Social implications
Due to the nature of LS, this study may emphasize teacher–student and teacher–teacher interactions. Thus, it can draw attention to the importance of social learning environments where students take responsibility and interact.
Originality/value
This study emphasizes the importance of listening to student voices in LS. Some ideas about mathematics teaching in Turkey should also be given. Finally, it can provide a good basis for understanding and comparing LS practices in different cultures and understandings.
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Ebru Yazgan and Ayşe Kucuk Yilmaz
Airline business management is set on airworthy strategy. Airline sustainability depends upon corporate-based airworthy strategy as airworthiness is the base to any airline…
Abstract
Purpose
Airline business management is set on airworthy strategy. Airline sustainability depends upon corporate-based airworthy strategy as airworthiness is the base to any airline business management and strategy. An airline can ensize its corporate sustainability if it has airworthiness strategy and risk management. The main condition to survive in the airline business is to maintain airworthiness with the fleet, maintenance and corporate-risk management. Aircraft maintenance technician (AMT) has a dual role in aircraft maintenance system as the source of failure in maintenance process via his volatility and unmanageable qualifications and secondly source of manager of maintain airworthiness of the aircrafts in airline. Situational awareness of managers about both limitations and qualifications of human factors is vital determinant to the decision-making process in aviation. Although continuously improving in related literature, one of the biggest weaknesses of the current methods of AMT error or performance is that the ability to model the reciprocal effects of the factors affecting the fault is limited. For this reason, this study aims to develop an analytic network process (ANP) model that takes into account the effects of mutual dependences among factors.
Design/methodology/approach
Firstly, with the help of experts and extensive literature, 67 factors that contributed to AMT error are identified and grouped. Then, the factors identified as eligible criteria and sub-criteria that contributed to the AMT errors are determined. In this study, the weights of identified criteria that have influence on AMT error try to determine by using ANP method. ANP is the common method to solve multi-criteria decision-making problems and is used to calculate priorities of factors. Criteria determined in this study are classified into three main clusters: “individual-related criteria”, “working environment-related criteria” and “organisational-related criteria”. These main clusters include 15 sub criteria such as communication, documentation (quality/updating/availability) and peer pressure.
Findings
The result of this study shows that time pressure, organisational culture, safety culture and supervision are the most important criteria that contributed to AMT error. Their weights are 0.207, 0.172, 0.102 and 0.094, respectively.
Originality/value
There are many difficulties and limitations in measuring the factors that have an influence on AMT errors. For this reason, the weights of criteria and sub-criteria necessary are determined using ANP, and in this manner, it is possible to make better decisions in this process as ANP is a multi-criteria decision-making technique that considers qualitative factors in decision-making problems. The factors’ taxonomy determined as a result of the expert opinions and the extensive literature and the ANP model developed taking into account the dependencies between the factors will contribute to the literature.
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Ayse Kucuk Yilmaz, Konstantinos N. Malagas, Nikitas Nikitakos and Hilal Tuğçe Bal
Research carried out within the scope of the present new emerging optimum market to Greek regional airlines. This study (based on interconnected flight network) aims to provide an…
Abstract
Purpose
Research carried out within the scope of the present new emerging optimum market to Greek regional airlines. This study (based on interconnected flight network) aims to provide an optimal alternative for flights to be carried out by small Greek airlines to Eskisehir Airport in Turkey. The airlines seek to sustainable demand base to improve themselves in a profitable way.
Design/methodology/approach
In this study, the analytical network process method was used. In the construction of network models, specific criteria have been considered, and the analysis has been accomplished as multi-criteria decision-making problem because of the relationship and interaction between them. A number of professionals with high knowledge of the Greek and Turkish aviation market were participated in the study.
Findings
Both Greek and Turkish experts think that the scenarios should include more airports (multi leg flights) to benefit from the increased traffic from all these destinations. Although, the model showed that more sustainable and effective routes are the simplest ones (single leg flights). Thus, the experts suggested the following five routes: Athens (ATH)-Antalya (AYT)-Eskisehir (AOE)-ATH; Heraklion (HER)-AOE-ATH; ATH-Istanbul (IST)-AOE-Thessaloniki (SKG); ATH-AOE-Cologne (CGN)-ATH and ATH-AOE-Izmir (ADB)-CGN-ATH. In addition, the experts pointed out the routes Eskisehir (AOE)-Brussel (BRU) and AOE-Cologne (CGN), as the passenger demand for them is high. These are considerable suggestions and should be examined by airlines’ managers, while aviation authorities should take these under consideration.
Research limitations/implications
There are some factors that limit the potential extension of the small Greek regional airlines to Eskisehir airport. Istanbul’s Atatürk International Airport is the most used airport for international connected flight in Turkey, and the most airlines prefer this as a destination airport, although it has slots limitations and intense traffic. According to a previous project, sustainable flight network may include Istanbul and Izmir. Also, the bilateral agreement between Greece and Turkey according to Memorandum of Understanding between the Aeronautical Authorities of the Republic of Turkey and Hellenic Republic consists the main limitation of the traffic increase.
Practical implications
Connected flight network model suggestions developed in this research may provide contribution to airlines’ research and development activities. Also this kind of studies may contribute to the increase of the passengers’ traffic between the two countries with mutual benefits.
Social implications
Based on the current study, with determined the grid network flights, new flights can be scheduled that are offering significant benefits. Also passengers will have the ability to travel to an attractive destination. In particular, the study may positively contribute to the further development of AOE and to the region around the city. On the other side, the Greek regional airlines can find an important market. Anadolu University’s entrepreneurship ability will be improved and also AOE’s business will be increased. This study will enforce the stronger links between both Greek [Hellenic (Greek) Civil Aviation Authority] and Turkish (General Directorate of Civil Aviation) aviation authorities. In addition, this study may contribute to the improvement of the economic relations between Greece and Turkey with mutual benefits.
Originality/value
It is thought that this research shows Greek and Turkish airports feasibility to cooperate providing benefits to passengers, airlines and the countries’ economies. The study includes current social, economic and cultural dynamics of the countries making significant contribution to academic literature. The capacity and demand analysis is useful for the management of the specific Greek carriers. Expert opinions are consulted over the course of taking strategic decisions. The analysis has been conducted, based on expert opinions and referred to for these pairwise comparisons. Airlines and airport managers based on the suggested methodology may examine potential flights, although more numerical data are necessary.