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Öğe Evaluation of flexible working styles with MCDM techniques within the scope of SWOT analysis(Rede Investigacao Condicoes Trabalho-Ricot, 2022) Yucenur, G. NilayThe fact that being more agile and adapting faster has become one of the most important competitiveness factors necessitates the transformation of traditional working styles. With the rapid development of technology and pandemic, flexible working forms have begun to replace traditional face-to-face working. For this reason, recently, businesses make strategic decisions about the working styles of human resources, which are their most valuable input, has to take. This study includes the evaluation of flexible working styles with multi-criteria decision-making methods within the concept of SWOT analysis, which is one of the most important tools of strategic decision-making. For this purpose, in this study, a hierarchical model with 22 criteria and 5 alternatives was proposed. In this model, SWOT components were weighted with the ENTROPY technique, while alternative working styles were evaluated with the fuzzy VIKOR method under fuzzy environment. After all calculations Employment flexibility with the possibility of migration, Natural disaster and terror risk and Technology cost were found the most important criteria with the highest importance weight scores among 22 criteria and Working 3 days away from office in week was found the most preferable flexible working style for sample company with the highest Q index value among five alternative working styles.Öğe Evaluation of sustainable metaverse characteristics using scenario-based fuzzy cognitive map(Pergamon-Elsevier Science Ltd, 2024) Maden, Ayca; Yucenur, G. NilayMetaverse, a virtual world that is parallel to the real world, has gained significant attention in recent years. This is because of the merging of platforms such as Facebook, Instagram, and WhatsApp under the Meta umbrella, intending to encompass all forms of digital communication and virtual environments. The COVID-19 pandemic has further accelerated this trend, as the need for virtual social interaction has grown due to the cancellation of in-person events. However, creating a metaverse environment parallel to the real world necessitates an exami-nation of its sustainability dimensions, including those from economic, environmental, social, and technological viewpoints. A sustainable metaverse must possess certain characteristics, such as being able to meet high computational demands, being interoperable and scalable, and having appropriate norms and regulations in place. This study aims to evaluate the characteristics of a sustainable metaverse in detail. The Fuzzy Cognitive Map is used to handle negative causal relationships and address the lack of crisp data. Additionally, scenario analysis is conducted to examine the impact of changes in specific characteristics on other characteristics. The results of this study provide valuable insights into the understanding of the metaverse and can serve as a valuable resource for those working to create a sustainable virtual world.Öğe An integrated solution for space shuttle launching ramp(Emerald Group Publishing Ltd, 2019) Yucenur, G. Nilay; Subasi, Anil SezerPurpose The purpose of this study is to select the most appropriate city in Turkey for space shuttle launching ramp. Design/methodology/approach In the proposed approach, an integrated methodology is used. The SWARA method is used in the first phase of the solution for determining criteria's importance weights. Based on the criteria weights obtained by the SWARA method, the WASPAS method is used for selecting the best alternative. Findings Mugla is selected for the most suitable city for the first space shuttle launching pad according to determined criteria and proposed model. Research limitations/implications - Although there are 81 cities in Turkey, 4 alternatives were selected for evaluation. It is possible to eliminate this limitation by the future studies with the implementation of proposed model to entire of Turkey. Practical implications - This proposed model can be used by the countries which want to have a new or first space shuttle launching ramp in the world. Originality/value Although some climatic conditions are pointed out on the location of the space shuttle launching ramp, in literature, there is not a comprehensive and detailed evaluation example as much as the model proposed in this study. Therefore, this study is the first in terms of the proposed model and applied techniques in the sectoral sense. In addition, the study is also a guide for solving the original model which is revealed in the selection of the most suitable alternative city for space shuttle launching ramp by different multi-criteria decision-making methods.Öğe Lean management approach in health sector: MCDM model proposal to prevention of waste(Growing Science, 2024) Yucenur, G. Nilay; Senturk, Selin; Taspatlatanlar, EceLean manufacturing in the manufacturing sector corresponds to lean management in the service sector. When health services are considered, it is seen that the concepts that are important in the manufacturing sector have the same importance for health services. Because waste is the main problem of every sector. Lean management approach in the health sector enables improvements by developing solutions to many other problems of healthcare professionals, patients and hospitals, such as reducing transaction costs, ensuring patient safety, and reducing processing times. This study was carried out with the aim of establishing a lean health system by selecting the most appropriate lean management methodology in order to identify and prevent waste in health processes and to increase efficiency and service quality. In the study, the evaluation of lean methodologies that can be applied to prevent waste in health services is considered as a multi -criteria decision -making problem and a model has been proposed. In the proposed model, wastes were determined as research criteria and lean methodologies were determined as research alternatives. The solution phase of the problem was carried out in two stages with multi -criteria decision -making techniques. In the solution phase, the importance weights of 24 decision criteria were calculated with the SWARA method, while 5 alternatives were evaluated based on the decision criteria with the WASPAS method and the most suitable alternative was selected.Öğe Location selection for a photovoltaic agricultural with f-PIPRECIA and WASPAS methods: A case study(Pergamon-Elsevier Science Ltd, 2025) Yucenur, G. Nilay; Maden, AycaPhotovoltaic agriculture stands out as an innovative approach that integrates traditional agricultural practices with solar energy production. This approach aims to enhance sustainability and efficiency by utilizing agricultural land for both energy generation and food cultivation. With escalating energy demands and growing environmental concerns, the significance of photovoltaic agriculture is increasingly recognized. This study addresses the critical issue of selecting optimal locations for such investments in T & uuml;rkiye. Within the framework of this study, we propose a hierarchical multi-criteria decision-making model comprising 6 primary criteria, 26 subcriteria, and 5 alternative locations. The proposed model is navigated using the F-PIPRECIA and WASPAS methods. In the initial phase of our solution, we apply the F-PIPRECIA method in a fuzzy logic environment to assign weights to the 26 sub-criteria. Subsequently, in the second phase, we employ the WASPAS method to evaluate and rank the five alternative locations. The study's findings indicate that Konya province emerges as the most suitable location for establishing photovoltaic agricultural sites in T & uuml;rkiye. Following Konya, Bal & imath;kesir and Malatya provinces were identified as the second and third most suitable options, respectively. These conclusions stem from a comprehensive assessment of factors encompassing climate, environment, economy, society, and risk. The insights derived from this research offer valuable guidance to private and public institutions, investors, and farmers in T & uuml;rkiye, assisting them in identifying the most favourable photovoltaic agricultural areas tailored to diverse criteria.Öğe MCDM approach to investigate the effectiveness of SCRUM events in minimizing risk factors in project management(Growing Science, 2023) Yucenur, G. NilayTraditional project management methods have been used for many years in the implementation and management of projects. With the publication of the agile manifesto in 2001, the interest in agile methods increased and successful results were obtained in the execution and solution of complex projects with agile approaches. Agile approach consists of different structures that can be named as framework or method. Among these agile methods, which are selected and applied according to the suitability and purpose of the project, the most frequently preferred one is SCRUM. In this study, SCRUM, an agile project management technique that has been used frequently in recent years in order to develop a flexible project management process, has been examined, and the effectiveness of the events of the SCRUM technique in minimizing the risks that arise in project management has been evaluated. Determining the effectiveness of these SCRUM events, which each agile project team implements in turn, is very important for the correct and effective allocation of resources. For this purpose, a multi-criteria decision-making model has been proposed to evaluate the effectiveness of 4 SCRUM events within the scope of this study. While the importance weights of the 24 project management risk factors proposed in the solution phase of the created model were determined by the SWARA method, the SCRUM events were evaluated with the WASPAS, COPRAS and EDAS methods and the solution values found by three different methods were compared. & COPY; 2023 Growing Science Ltd. All rights reserved.Öğe Prioritisation of Industry 4.0 implementations in agricultural sector with SWARA/EDAS(Inderscience Enterprises Ltd, 2022) Yucenur, G. Nilay; Azakli, Ali Samed; Bahadir, Kerem; Tel, Muhammed Esat; Arabaci, Seda NurThe aim of this study, which proposes an MCDM model for evaluating today's Agriculture 4.0 applications, is to provide sustainable production and efficiency increasing in the agricultural sector by providing automation of data management with smart networks. With this purpose, in this study, Industry 4.0 implementations of Turkey's agricultural sector were evaluated in order to ensure continuity and increased efficiency in the agricultural sector and a multi-criteria model was suggested. The proposed model was evaluated by SWARA and EDAS methods, where multiple conflicting criteria can be evaluated together and the most suitable alternative technology was determined. According to this evaluation, hydroponic agriculture alternative with 0.8760 evaluation score was determined the most important Agriculture 4.0 technology. This alternative was followed by other Agriculture 4.0 technologies such as agricultural robot, intelligent soil sensor, autonomous tractor and autonomous weed cleaning robot according to evaluation scores, respectively.Öğe Sequential MCDM methods for site selection of hydroponic geothermal greenhouse: ENTROPY and ARAS(Pergamon-Elsevier Science Ltd, 2024) Yucenur, G. Nilay; Maden, AycaWith the increasing global population, there is a growing need for agricultural land and an associated impact on greenhouse activities. In response to issues of limited energy and natural resources, the use of hydroponic greenhouses that use renewable energy sources has become increasingly popular. Among these, the use of geothermal energy in hydroponic greenhouses has garnered particular attention. In this study, we propose a sequential solution method that incorporates the Entropy and ARAS methods for the location selection of hydroponic greenhouses heated by geothermal energy. The model considers 5 main criteria, and 21 sub -criteria, and evaluates five alternative cities in Turkey. The weighting of the criteria was established through the Entropy technique. Subsequently, the decision alternatives were ranked using the ARAS method. The results of the study revealed that Denizli province is the most appropriate location for the establishment of a hydroponic geothermal greenhouse in Turkey. The alternative cities of Aydin and Afyonkarahisar were found to be the second and third most suitable provinces respectively. This determination was made based on a thorough evaluation of various factors such as geothermal resources, land availability, and infrastructure. The results of the study align with Turkey ' s potential for using geothermal energy and its existing greenhouse areas. This study highlights the potential for using geothermal energy in the cultivation of crops in Turkey and suggests that the establishment of hydroponic geothermal greenhouses in these provinces can be a viable and sustainable solution for increasing food production. The proposed sequential solution method may serve as a valuable tool for guiding investment decisions related to geothermal greenhouse applications in other countries.Öğe Sequential SWARA and fuzzy VIKOR methods in elimination of waste and creation of lean construction processes(Elsevier, 2021) Yucenur, G. Nilay; Senol, KaanThe lean manufacturing approach is one of the process improvement and business development philosophies that can be applied in all sectors. In this context, lean construction enables the development of common applications by combining the production sector and the construction sector under the name of lean in order to improve and develop construction processes. This study was carried out in order to help the creation of a lean construction system by selecting the most appropriate lean techniques to determine and eliminate the waste in construction processes and to reduce costs by increasing the efficiency of the processes. Within the scope of the study, the wastes arising in the construction processes and the selection of lean production techniques that can eliminate these wastes were discussed as a multi-criteria decision making problem. In this problem wastes were determined as decision criteria and lean techniques were determined as solution alternatives. The problem structure consists of 8 main criteria that are about overproduction, waiting, transporting, inventory, operation, movement, production and work accidents, 24 sub-criteria, namely, construction waste and 5 alternative lean techniques such as 5S Technique, Just in time production, Kanban, Total productive maintenance and Visual Management. In the solution phase of the problem, the criteria weights and importance order of wastes in the processes were obtained by using SWARA method, lean construction techniques were evaluated by using Fuzzy VIKOR method under fuzzy environment. As a result of the evaluations, on one hand among the 24 criteria in the construction processes, faulty construction due to the lack of integration between design and production and improper processes due to the operational mistakes made by the employees were determined as the most important waste and on the other hand Kanban and Visual Management were determined as the most suitable alternative lean techniques for the construction processes. According to this result, Kanban that can convey the demands of all the elements in the lean system to the previous process with all the details in line with their needs and Visual Management that can visualize all the work done in the system as much as possible should be used in construction processes primarily.Öğe SWARA/WASPAS methods for a marine current energy plant location selection problem(Pergamon-Elsevier Science Ltd, 2021) Yucenur, G. Nilay; Ipekci, AhmetIncreasing energy demand in the World has led countries to use renewable energy sources as a result of kinetic energy transformations of nature's building blocks such as wind, solar, hydrogen and water. This orientation has also increased technology, creativity, research and development and applicability. With the increasing renewable energy production researches, methods that minimize the harmful effects to the nature continue to be developed. This study is about a location selection problem for Turkish first marine current energy production plant that planned to be established. In order to solve the location problem a multi criteria decision model is proposed with 4 main criteria, 12 criteria and 3 alternatives. The criteria in proposed model are weighted with the SWARA method and the alternatives determined in the model according are ranked by WASPAS method. In Turkey, with made researches applicability of energy production from marine current has expressed many times, but an actual developments on the issue until today has not been made. Therefore, location selection problem for marine current energy plant is the first study to be introduced to the literature with its combined application method. (C) 2020 Elsevier Ltd. All rights reserved.Öğe TWO-STEP META-HEURISTIC APPROACH FOR A VEHICLE ASSIGNMENT PROBLEM - CASE FROM ISTANBUL/TURKEY(Svenciliste U Zagrebu, Fakultet Prometnih Znanosti, 2020) Yucenur, G. NilayIn this paper, a two-step meta-heuristic approach is proposed for vehicle assignment problem with geometric shape-based clustering and genetic algorithm. First, the geometric shape-based clustering method is used and then the solution of this method is given to the genetic algorithm as initial solution. The solution process is continued by genetic algorithm. There are 282 bus lines in Istanbul European side. Those buses should be assigned to six bus garages. The proposed method is used to determine the minimum distance between the bus lines and garages by assigning buses to garages. According to the computational results, the proposed algorithm has better clustering performance in terms of the distance from each bus-line start point to each bus garage in the cluster. The crossover rate changing method is also applied as a trial in order to improve the algorithm performance. Finally, the outputs that are generated by different crossover rates are compared with the results of the k-Nearest Neighbour algorithm to prove the effectiveness of the study.
