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Öğe A New Fine-Kinney Method Based on Clustering Approach(World Scientific Publ Co Pte Ltd, 2020) Dagsuyu, Cansu; Oturakci, Murat; Essiz, Esra SaracIn this study, a new approach to Fine-Kinney risk assessment method is developed in order to overcome the limitations of the conventional method with clustering algorithms. New risk level of classes are attempted to determine with K-Means and Hierarchical clustering algorithms with using two different distance functions which are Euclidean and Manhattan distances. According to the results, K-Means algorithms have provided accurate and sensitive cluster of classes. Classes from conventional and K-Means algorithms are applied and compared to the identified risks of a workshop of a medium sized textile company. Results of the study indicate that clustering techniques are new, original and applicable way to define new classes in order to prioritize risks by overcoming the drawbacks of conventional Fine-Kinney method.Öğe A new fuzzy approach in risk assessment with process capability for air pollution(Taylor & Francis Inc, 2023) Oturakci, Murat; Dagsuyu, Cansu; Derse, OnurToday, the reasons such as the development of technology and industry, the increase in the population and the number of vehicles cause air pollution to increase constantly. Many different components cause air pollution, and increased air pollution poses serious risks to both human health (respiratory distress, eye diseases, physical distress, cancer, etc.) and nature (acid rains). In this study, a new risk analysis approach has been applied for the risks that may occur by considering the component data of SO2, NO2, CO, O-3, and PM(10)causing air pollution from the measurement stations in Ankara, the capital city of Turkey. In this new approach, the integrated risk analysis (RPN with Cp) method has been developed by calculating the Cp values that take into account the spread for the parameter values of the stations. According to the risk assessment results, the most critical hazards were revealed for each component and a fuzzy model was established based on these hazards. With the fuzzy model, risk scores in different ranges are evaluated in a single range and the critical levels of the measurement stations are ranked. According to the results of the study, two of the seven stations are medium-high; two are medium; two of them are medium-low and the remaining one station is placed in the low category. Since the low category is considered as an acceptable risk class in risk analyzes, stations in the medium-high and medium class, which make up 57% of the stations, can be considered critical.Öğe A new fuzzy-based approach for environmental risk assessment(Taylor & Francis Inc, 2019) Oturakci, MuratDue to new regulations, laws and increasing demand from consumers, companies begin to enhance their environmental management practices. Hence, environmental risk assessment became one of the critical success factors for companies in order to be successful. Environmental risk assessment approaches under Occupational Health and Safety (OHS) activities vary among industries and taking precautions about environmental issues lead researchers and practitioners to create new approaches. Also, subjectivity of existing methods, advancement of technology, and aim to minimize risk levels and rivalry among competitors are some of the main reasons for development of new approaches. This study aims to propose a new fuzzy-based approach for environmental risk assessment along with Analytical Hierarchy Process (AHP) for environmental risk assessment. Hereby, along with the consideration of categorical impacts such as to human health and environment, new approach is applied and compared with classic AHP results. According to the implementation results on a chemical ranch of a textile company, new approach minimizes subjectivity besides of flexible, original, and easy to implement for researchers and practitioners.Öğe A novel approach for predicting global innovation index scores(Inderscience Enterprises Ltd, 2024) Yildirim, Rabia Sultan; Ukelge, Mulayim Ongun; Essiz, Esra Sarac; Oturakci, MuratInnovation has great importance in growth models in today's economy. In the globalising world, countries that renew their product and service range are at the forefront. The way to manage innovation is to measure it. Therefore, to have measurable information, the Global Innovation Index (GII) identifies inputs and outputs that are indicators of innovation. The GII provides a global ranking for countries according to their innovation capacity. In this study, GII scores of 125 countries between the years 2013 and 2020 were estimated using the artificial neural network (ANN). Before the estimation, feature selection was performed from 61 common indicator parameters. 27 parameters that best explain the GII score were selected and used in the ANN. According to the estimated GII scores, the selected 27 parameters are sufficient to calculate the GII score and has been observed that the ANN model is sufficient to determine the approximate GII score of the countries.Öğe Action selection in risk assessment with fuzzy Fine-Kinney-based AHP-TOPSIS approach: a case study in gas plant(Springer Heidelberg, 2022) Dogan, Bahar; Oturakci, Murat; Dagsuyu, CansuIn this study, the hazards occurring in a medium-sized gas filling facility were defined, and the risk scores of these hazards were determined by the expert team according to the Fine-Kinney risk analysis method. However, since the same risk significance score is obtained in different combinations of scale values in the classical Fine-Kinney risk analysis method and the characteristics/constraints of the company applied in the risk analysis are not taken into account, the hazards were evaluated using fuzzy Fine-Kinney risk analysis, and the most critical hazards were determined. Action plans are defined for critical hazards determined as a result of fuzzy Fine-Kinney risk analysis. Among the actions that require company resources, the action selection was performed with the TOPSIS method, taking into account their relationship with the hazards by integrating the weights, which was calculated with the AHP method, of affected groups. The effect of operating constraints is included in the last step of the study to calculate the final weights. Calculating the results by including the risk-affected groups and company constraints and ranking the actions reveals that the study is an original, objective, and applicable study.Öğe Artificial Bee Colony-Based Feature Selection Algorithm for Cyberbullying(Oxford Univ Press, 2021) Essiz, Esra Sarac; Oturakci, MuratAs a nature-inspired algorithm, artificial bee colony (ABC) is an optimization algorithm that is inspired by the search behaviour of honey bees. The main aim of this study is to examine the effects of the ABC-based feature selection algorithm on classification performance for cyberbullying, which has become a significant worldwide social issue in recent years. With this purpose, the classification performance of the proposed ABC-based feature selection method is compared with three different traditional methods such as information gain, ReliefF and chi square. Experimental results present that ABC-based feature selection method outperforms than three traditional methods for the detection of cyberbullying. The Macro averaged F_measure of the data set is increased from 0.659 to 0.8 using proposed ABC-based feature selection method.Öğe Comprehensive analysis of the global innovation index: statistical and strategic approach(Routledge Journals, Taylor & Francis Ltd, 2023) Oturakci, MuratCountries can gain a competitive advantage as a result of their innovation activities. The Global Innovation Index (GII) reveals the comprehensive innovation performance of countries, helping developing economies keep up with technology. In this study, the relationship between Innovation Input Sub-Index and Innovation Output Sub-Index was analyzed by canonical correlation analysis. Data between 2013-2020 annual reports were compiled by including all countries. According to the results, the most important and explanatory factors in the formation of the Innovation Input Sub-Index score were Human and Capital Research with 68.7% and Business Development with 69.2%, and Creative Outputs with 98.8% in the Innovation Output Sub-Index score. In the next stage of the study, it was examined by t-test whether the explanatory factors as a result of the canonical correlation differ according to the income levels of the countries. According to the results, it was found that there is a statistically significant difference between the differences in income level and the factors. The evaluation of the GII data of this study based on eight years and the deepening of the research on the income levels of the countries based on this evaluation reveal the original contribution of the study in theory and practice.Öğe Integrated environmental risk assessment approach for transportation modes(Taylor & Francis Inc, 2020) Oturakci, Murat; Dagsuyu, CansuThe main aim of this study is to develop and implement new integrated environmental risk assessment for transportation activities. With this purpose, environmental risks occur from transportation activities from different transportation modes which are air, road, sea and rail are determined. Transportation modes are compared with the Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) approach in order to obtain importance weights and impact categories of air, soil and water are used as criteria where the weights are determined with Analytical Hierarchy Process (AHP). For the risk assessment process, Failure Mode and Effect Analysis (FMEA) has been used and prioritizations of risks are calculated with weights of the calculated transportation modes. In the study, integrated multi-criteria decision-making methods with the classic FMEA method with different categories of impacts reveal new multidimensional perspective to classic environmental risk assessment methods.Öğe Integrated risk prioritization and action selection for cold chain(Springer Heidelberg, 2021) Dagsuyu, Cansu; Derse, Onur; Oturakci, MuratCold chain, which affects human health and quality of life, is applied for temperature-sensitive and perishable products. Any problems occurring in the cold chain can cause deterioration in products, causing poisoning, death, or various diseases. There are many stages in the cold chain itself and the risk significance level of each stage is different. Therefore, the risks that occur depending on the weight of the stages in the cold chain should be defined and minimized and action plans are needed to be formed. Every action in the action plan cannot be implemented simultaneously since each action requires a different amount of budget and time resources of the companies are finite. Hence, the risks occurring in the cold chain should be minimized with the maximum use of limited company resources. In this study, an integrated mathematical model with analytical hierarchy method and failure mode and effect analysis is proposed that will maximize the weighted risk reduction amount by considering the budget and time constraints of the companies at the same time. The proposed approach has been applied in the 3PL service provider and the results are discussed. According to the results of the study where maximum benefit is aimed with the actions taken against the dangers, the maximum objective function value was obtained at the second and third levels of the workforce and budget values by evaluating the different situations with scenario analyses. In this solution, it is foreseen that by taking 5 actions, improvement will be made in 14 hazards.Öğe New approach to Rogers' innovation characteristics and comparative implementation study(Elsevier, 2018) Oturakci, Murat; Yuregir, Oya H.This study aims to develop a research model that analyzes the effects of the innovation and organizational characteristics in literature on ERP application users' rates of adoption. Innovation characteristics model in literature is extended and new research model, which includes both innovation and organizational characteristics, is developed and both models are tested on 403 users with factor analysis. Moreover, the sample is divided into 10 categories to observe how characteristics differentiate in both models in each category. Results indicate that categorizations of the sample have distinctive impacts for both models and create dynamic structure which flexes the rigidity in literature.Öğe New Technology Acceptance Model Based on Innovation Characteristics with AHP-TOPSIS Approach(World Scientific Publ Co Pte Ltd, 2019) Oturakci, MuratIn this study, a new technology acceptance model (TAM) based on the characteristics that are adapted from Innovation Diffusion Theory (IDT) with integrated multi-criteria decision-making (MCDM) method is developed in order to explain students' acceptance of information system. New TAM is developed based on 650 students of a public university of Turkey. In the study, first, five innovation characteristics are prioritized with the Analytical Hierarchy Method (AHP) and independent variables of TAM are formed with the Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) technique with using AHP results as the criteria weights. With the obtained results, explaining the intention to use by more than 50% shows that integrated TAM is an applicable and flexible model.Öğe Risk Analysis Application to Hazardous Material Transportation Modes(Sage Publications Inc, 2022) Derse, Onur; Oturakci, Murat; Dagsuyu, CansuHazardous material transportation is a significant issue in relation to both environment and humanity. In recent years, studies and attempts to minimize the risks of hazardous material transportation or selection of transportation mode to reduce potential hazards have increased. This study aims to evaluate the hazards arising from each stage of hazardous material transport modes and the risks arising from these hazards with an integrated approach simultaneously. Fault tree analysis (FTA) is used to evaluate hazardous material transportation modes with their stage components; probabilities of potential hazards are calculated for the risks arising from those hazards and evaluated with The Decision Making Trial and Evaluation Laboratory (DEMATEL) approach. Last, to determine the critical levels of transportation modes, calculated risk scores and parameters that affect those transportation modes, such as speed, cost, and capacity, are assessed with Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) and DEMATEL approach. Ultimately, critical levels of transportation modes are ranked as highway, marine and inland, airway, and railway.
