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Helicopter is a very important defence and attack tool for a country's armed forces (army) (air force). With the rapid progress of technology, the designs of helicopters, the hardware and software elements in the helicopter have also been renewed and developed in parallel with advanced technology. Therefore, it is expected that the pilots who will use helicopters, which are an important flight tool of armed forces, will also have the qualifications to provide the necessary knowledge, skills, and criteria. The aim of the study is to determine the military helicopter pilot selection criteria and to find the importance levels of these criteria. For this purpose, three main criteria as "Health", "Psychomotor" and "Education and Training" and thirteen sub-criteria were determined. The weights of the determined criteria were found by the Grey SWARA method, which is a current multi criteria decision making tool. According to the results of the analysis, it is found that the most important sub-criteria was "Practical Training", while the lowest important criteria was the "Height and weight limits" criterion. With this study, the weights of the military helicopter pilot selection criteria were found for the first time with the Grey SWARA method. [ABSTRACT FROM AUTHOR]

Flight schools are institutions that carry out training activities in order to ensure quality and competition in the sector and to meet the pilot needs of the sector. Therefore, the aircraft to be used in the training must be chosen correctly. The aim of this study is to determine the aircraft selection criteria of the flight schools, to find the weights of these criteria and to choose the most suitable aircraft alternatives among the preferred flight schools. In the study, MEREC and CoCoSo methods, which are the current Multi-Criteria Decision Making methods, were preferred. The MEREC method was used to find the criterion weights, and the CoCoSo method was used to rank the aircraft. In the literature search, no study was found in which MEREC and CoCoSo methods were used in aircraft selection of flight schools. In the results of the analysis, it has been determined that the three most important evaluation criteria are "standard weight", "fuel tank capacity" and "maximum take-off weight", respectively. The criterion with the lowest degree of importance was the "aviation capability of the engine manufacturer" criterion. "Piper PA-44 Seminole" with alternative 3 codes took the first place among the aircraft alternatives. It is thought that the study will be beneficial to aviation industry and flight school managers. [ABSTRACT FROM AUTHOR]

Due to the developments in the airline industry, competition among airline companies is surging day by day. It is very essential for airline companies to review their performance in order to sustain their activities. In this study, the five-year performance of Pegasus between 2016 and 2020 was analyzed. Accordingly, the criteria of "number of seats", "number of aircraft", "load factor", "average daily use of aircraft", "number of passengers carried" and "number of landings" were chosen. In the study, Pegasus' performance over the years was evaluated using the most up-to-date multi-criteria decision-making methods such as CRITIC, MEREC, MAUT and PSI. With the CRITIC and MEREC methods, the weights of the evaluation criteria were obtained, and the performance of Pegasus by years was listed with the MAUT and PSI methods. The results showed that the criterion with the highest weight on Pegasus' performance was the "number of aircraft", and the criterion with the lowest degree of importance was the "number of seats" criterion. In the ranking made by MAUT and PSI methods, Pegasus' best performance was in 2019, while the lowest performance was in 2020. [ABSTRACT FROM AUTHOR]

The services provided at the airports, the physical and environmental structures of the airports, and their geographical locations are very important for both passengers and airline industry employees. In the study, comparative analysis of three airports operating in the Western Mediterranean and Aegean Regions is made. The airports within the scope of the study are evaluated from the viewpoint of two different airline employee groups, namely the airport ground services team and the flight crew. Multi-criteria decision making methods are used in the analysis. The weight of the evaluation criteria is found by Fuzzy SWARA, and the rankings of three airports are made separately by using COPRAS and SAW methods. The results of the analysis made using both multi-criteria decision making methods are compared according to the airport ground services team and flight crew opinions. According to the analysis results, the three most important criteria are "runway length", "taxiways" and "altitude". The least important criterion is "terminal area". Although the criteria rankings are the same according to the airport ground handling crew and flight crew opinions, it is observed that the weights of these criteria are different. Since the work and job descriptions of the ground handling personnel working at the airports and the flight crew are different, the importance of the evaluation criteria also differs depending on their expectations from the airport. It is thought that the study is going to be beneficial for airport managers, airline industry employees and passengers using airports. [ABSTRACT FROM AUTHOR]

In this study, the performance of four ground operations agents working in a ground handling company was evaluated using Grey Piprecia and Grey Marcos methods, which are multi criteria decision making methods. As a result of the evaluation of criteria, the criteria of "mastery of technical issues in the job description", "ability to take initiative in difficult situations", and "effective communication skill" ranked first, second and third, respectively. In the performance evaluation, ground operations agent A1 was the best performer. Very few studies using Grey PIPRECIA and Grey MARCOS methods are available in the literature. However, until now there has been no study regarding the performance evaluation of ground operations agents using mentioned methods. With these aspects, the study will fill an important gap in the literature. [ABSTRACT FROM AUTHOR]

In the study it is aimed to measure the performance of five participation banks operating in Turkey as of 2018 and six participation banks operating as of 2019 with MULTIMOORA method and MAUT method which are among the multi-criteria decision-making methods using CAMELS ratios. For this purpose, the rates evaluated within the scope of CAMELS are calculated. Consolidated financial statements and independent audit reports for the two separate accounting periods ended as of December 31, 2018 and December 31, 2019, and the consolidated balance sheet and income statements of December 31, 2018 and December 31, 2019 are used in the calculation of the ratios. After the calculation, the ratio directions are determined. The rates found with 2018 data are integrated with the MULTIMOORA method and the participation banks are ranked and it is determined that Vakıf Participation Bank takes the first place. The rates found with 2019 data are listed with the help of the MAUT method in this ranking, it is seen that Kuveyt Türk Participation Bank takes the first place. [ABSTRACT FROM AUTHOR]

Flight attendants working in airline companies are the airline personnel with whom the passengers are in contact from boarding the plane to the landing process. Therefore, it is important to choose a flight attendant for an airline company. The aim of this study is to determine the importance of the criteria that airline companies should take into consideration when recruiting cabin crew and to choose the most suitable one among cabin crew alternatives. Fuzzy SWARA was used to find the criterion weights, and the Fuzzy MARCOS method was used to rank the candidates. In the literature research, it has not been found a study that Fuzzy SWARA and Fuzzy MARCOS methods are used in evaluating the alternatives and the criteria that play a role in the selection of cabin crew and. In the analysis results, it was determined that the three most important evaluation criteria are "education and success status", "foreign language knowledge" and "physical characteristics", respectively. Candidate number 3 was also ranked first as the most suitable flight attendant. [ABSTRACT FROM AUTHOR]

The knowledge and competencies of the academic staff working in universities, researches, technical infrastructure of the university, social and cultural activities organized at the university affect the education and training, and play an important role in the productivity and success of the university. Different dimensions of these criteria constitute input for university ranking systems published internationally and nationally. Thus, each institution evaluates its position and defines the necessary strategies and targets to be better. Within the national scope, reporting is also made to the upper institutions that they are affiliated with the determined performance indicators. In this context, the aim of the study is to evaluate and rank the 172 public and foundation universities whose 2018 reports have been published according to the related criteria determined by YÖK and to reveal how these rankings are affected by the selected ranking methods. More than fifty criteria are evaluated by six different multi-criteria decision making methods. The relationships between the rankings obtained by the application of each method are also presented with the relevant statistics. [ABSTRACT FROM AUTHOR]

Selecting proper machine is very crucial and challenging decision making process for managers due to the effects on both quality and lead time of production. Cotton have been used in wide variety of industries as raw or semiprocessed materials through centuries. Like the other machine selection problems, selecting accurate gin machine is crucial when to consider the effects of the gin machine on quality of cotton and fiber value. This paper proposes a multi-criteria decision analysis (MCDA) to evaluate criteria to selecting gin machine. This study was conducted at a ginnery factory within Aydın region. MACBETH (Measuring Attractiveness by a Categorical Based Evaluation Technique) which is a multi-criteria evaluation approach was used to evaluate four criteria based on non-numerically value judgements of managers. This study aims to analyze the importance levels of criteria with MACBETH method. [ABSTRACT FROM AUTHOR]

This study proposes a filtering approach based on text classification and a fuzzy multi-criteria decision-making technique to select the relevant bibliometric data for further analyses in the scope of bibliometrics, scientometrics, and related methodologies. The proposed approach is illustrated on Industry 4.0 and internet of things which are the concepts that currently draw utmost attention with a growing number of research and applications. Accordingly, various findings are presented revealing the characteristics of the selected bibliometric data with the help of text and network analytics. The potential contribution of this study is two-fold such that the study not only suggests a novel approach for clarifying the retrieved bibliometric data but also emphasises the mainstream research areas and directions of Industry 4.0 along with the concept of the internet of things. Thus, an analysis framework with computing techniques has been used to reveal the characteristics of literature in a field of technology. [ABSTRACT FROM AUTHOR]

The rate of participation in tourism activities in the world and the search for differences have led people to thermal tourism that offers tourism and health opportunities together. Turkey, thanks to the wealth of thermal springs that has become an important market for thermal tourism. As in all service businesses, service quality has become the most important factor affecting customer preferences in thermal tourism enterprises. In this study, which was designed to determine the priority of the dimensions of SERVQUAL scale in terms of thermal tourism, the quality dimensions of the service provided by the thermal tourism enterprises operating in Izmir have been tried to be prioritized by Analytical Hierarchy Method. Thus, it is thought that time and cost savings will be achieved in the measurement of service quality. As the secondary aim of the study, thermal hotels were evaluated by customers, staff and academicians according to TOPSIS method. [ABSTRACT FROM AUTHOR]

There are many different factors that should be taken into account for understanding the performance of a manufacturing company. These factors should be analysed together. Evaluation factors are determined by interviews with the financial experts at the banks in addition to the literature survey. The evaluation factors that are determined are 15 financial ratios related to liquidity ratios, financial structure ratios, turnover rates and profitability ratios. Within the scope of the study, the weights of these financial ratios are found with SWARA method. Then, the companies in BIST manufacturing category are analysed with GRA method. Balance sheet and income statements data of the enterprises included in the BIST Industrial category, which are required for the analysis, are obtained with the help of the Finnet program. The purpose of the study is to evaluate the performances of enterprises in the BIST Industrial category from the viewpoint of the bank managers. The results provide useful information for the sector. Excel package program is used for analysing the data. [ABSTRACT FROM AUTHOR]

Since the 1980's, throughout the world, the industry has been widely used to lean production systems. Lean production is a system that minimize the lead time between a customer order and the shipment of the goods by reducing the all forms of waste. It has several benefits such as less process waste, reduced lead time, less rework, financial savings, increased process understanding and reduced inventory. Lean thinking is based on the manufacturing process that focuses on the delivering value to the customer. In this study, kaizen technique has been followed as the contribution of lean production system to reduce the cycle time in a PVC film producer as it is explained. [ABSTRACT FROM AUTHOR]

The results of the long term wars depend upon the right usage of the country resources in addition to war strategies. If a country is not powerful economically, it cannot be expected to win a long term campaign. In this study, two different models for WWII Pacific Front ground and sea battles have been prepared with Stella 9.1.4 software in the framework of the system dynamics by understanding the effect of mass production. Then, the model has been run in according to the different scenarios for ground battles and the results have been analyzed. [ABSTRACT FROM AUTHOR]

Increase in environmental concerns and problems of resource scarcity, enforce firms to be more sensitive for greeen practices and to take precautions on environmental issues. In this regard, firms should manage their supply chains efficiently by taking the resource allocation more seriously. Green supply chain management emerges as an organizational philosophy that aims to increase the profits and market share of the firms while increasing the ecologic efficiency of the members of the supply chain by minimizing the environmental damages. Therefore, the aim of this study is to collect data to reveal the current situation of green supply chain practices. The results of the interviews with a supply chain in aluminium jonery sector in Izmir point out that the green supply chain practices are not sufficient and should be progressed. [ABSTRACT FROM AUTHOR]

Managers must think many evaluation criteria together. Some of these criteria values must be higher, but some of them must be low. Promethee method enables to evaluate of these opposite values. In this study, laser cutting machines will be compared according to working accuracy, cutting speed, point to point speed, acceleration and axis movement evaluation criteria by using Promethee method. Working accuracy value differs from the other evaluation criteria because lower working accuracy value is preferable. [ABSTRACT FROM AUTHOR]

There have been different machine types that the companies need for production activities. Purchasing decision of the most appropriate machine necessitates to evaluate many different criteria together. The methods that are used for decision by analyzing many criteria together are called multi criteria decision making methods. In some cases, the lower values of the evaluation criteria like time and cost are preferable. One of the multi criteria decision making methods that can be used for this condition is Copras. In this study, 38 different eccentric pres alternatives have been analysed according to tonnage height, table-ram distance, stroke adjustment, slide adjustment, motor power, unit stroke time evaluation criteria, and then the results have been compared. [ABSTRACT FROM AUTHOR]

Analytical ways to reach the best decisions are the most preferable issues in many business platforms. During the decision processes, besides the measurable variables, there exist qualitative variables, especially if the decision is based on a selection problem. Analytic hierarchy process (AHP) and analytic network process (ANP) are two of the best ways to decide among the complex criteria structure in different levels using qualitative variables. When there are interactions between the criteria in different levels of the hierarchy, then AHP cannot be used because of their one-way direction of hierarchy; the ANP has been developed for this kind of need. In this study, a fuzzy ANP method is developed for a multi-criteria facility location selection problem where the criteria set includes interactions with each other on the hierarchy structure. Besides the fuzzy ANP model development and implementation on facility location, sensitivity analysis was also originally performed to indicate the upper and lower bounds for the importance levels of alternative locations. [ABSTRACT FROM AUTHOR]

Business intelligence is a technology that can integrate data warehouses fed from different sources of data, data mining and other statistical methods to create meaningful, visually rich, and reasonably appropriate reports. The study aims to reveal the current state of the literature on business intelligence by presenting the analytical structure of the scientific studies through the use of scientometric methods. In this context, the current status is summarized via descriptive statistics about the distributions of authors, journals, institutions, countries, citations, and also trends, furthermore advanced methods such as network analyses and text analytics are used to determine the relationships between the entities, e.g., publications, journals, authors, and to provide the information on the contents of the works in summary. Within the scope of the study, the concepts of data warehouse and data mining are reviewed where business intelligence is related at the primary level to emphasize the importance of the subject, and in this conceptual framework, the findings from the scientometrics of the research articles are presented that were published in the journals in the Web of Science basic database. Scientific studies are essential regarding presenting the current situation of the relevant literature and shedding light on future studies. [ABSTRACT FROM AUTHOR]