Yazar "Cinar, Ulas" seçeneğine göre listele

Listeleniyor 1 - 5 / 5
  • [ X ]
    Öğe
    A novel approach to assess occupational risks and prevention of hazards: the house of safety & prevention
    (Ios Press, 2022) Cinar, Ulas; Cebi, Selcuk
    Risk management is the key factor to obtain safety in the working environment and its effectiveness increases with accuracy assessment and robust analysis. However, it is hard to succeed because of uncertainties in the working environment. Therefore, there are a lot of risk assessment methods in the literature to assess occupational health and safety risks. The traditional risk assessment methods handle each activity in the working environment separately and they do not consider the interactions among them. Furthermore, in these methods, potential outcomes of the risk parameters are considered based on the most possible outcome although there may be more than one potential outcome. Differ from the traditional methods, The House of Safety method has been proposed to consider all potential outcomes and handle the interactions among the activities. In this study, an extension of The House of Safety is proposed to consider interactions among potential risks and to determine the most effective prevention method based on the potential risks. Hence, this extension provides an evaluation of the whole system. The proposed model has been developed by integrating Fuzzy Inference System (FIS), Fuzzy Analytical Hierarchy Process (FAHP), and DEMATEL into Quality Function Deployment (QFD). In this direction, FIS is used to determine activity-related probabilities, FAHP is utilized to identify all possible damage potentials of risks, and the DEMATEL is used to clarify interactions among risks. Finally, all information produced by these methods were aggregated to obtain total risk scores by using QFD. In addition, a second home has been created to link prevention and risks. Therefore, an effective prevention plan has been made to eliminate priority risks with all effective parameters. This stage provides the opportunity for optimum prevention plan against risk or risk groups dominating the system at the same time. In this study, unlike traditional methods including a partial risk assessment perspective, an integrated method that takes into account the risks on their own and the interactions between them is proposed in the literature, and the proposed approach has been applied to an open pit mine.
  • [ X ]
    Öğe
    A novel approach to assess occupational risks and prevention of hazards: The house of safety prevention
    (IOS Press BV, 2022) Cinar, Ulas; Cebi, Selcuk
    Risk management is the key factor to obtain safety in the working environment and its effectiveness increases with accuracy assessment and robust analysis. However, it is hard to succeed because of uncertainties in the working environment. Therefore, there are a lot of risk assessment methods in the literature to assess occupational health and safety risks. The traditional risk assessment methods handle each activity in the working environment separately and they do not consider the interactions among them. Furthermore, in these methods, potential outcomes of the risk parameters are considered based on the most possible outcome although there may be more than one potential outcome. Differ from the traditional methods, The House of Safety method has been proposed to consider all potential outcomes and handle the interactions among the activities. In this study, an extension of The House of Safety is proposed to consider interactions among potential risks and to determine the most effective prevention method based on the potential risks. Hence, this extension provides an evaluation of the whole system. The proposed model has been developed by integrating Fuzzy Inference System (FIS), Fuzzy Analytical Hierarchy Process (FAHP), and DEMATEL into Quality Function Deployment (QFD). In this direction, FIS is used to determine activity-related probabilities, 'FAHP' is utilized to identify all possible damage potentials of risks, and the DEMATEL is used to clarify interactions among risks. Finally, all information produced by these methods were aggregated to obtain total risk scores by using QFD. In addition, a second home has been created to link prevention and risks. Therefore, an effective prevention plan has been made to eliminate priority risks with all effective parameters. This stage provides the opportunity for optimum prevention plan against risk or risk groups dominating the system at the same time. In this study, unlike traditional methods including a partial risk assessment perspective, an integrated method that takes into account the risks on their own and the interactions between them is proposed in the literature, and the proposed approach has been applied to an open pit mine. © 2022 - IOS Press. All rights reserved.
  • [ X ]
    Öğe
    Integrating a Hybrid Model of Machine Learning and Fuzzy Inference Systems for Enhanced Occupational Risk Assessment in Underground Mining
    (Springer International Publishing Ag, 2025) Cinar, Ulas; Barisik, Tolga
    This study addresses the critical need for advanced risk assessment in unde ground mine sites by proposing a hybrid model of two machine learning algorithms: Random Forest (RF) and Support Vector Regression (SVM) and Fuzzy Inference System (FIS). Building on the success of these models, the given study aims to standardize the assessment of occupational health and safety risks in activities conducted in underground mines using an artificial expert system. Initially, datasets were created by leveraging real expert judgments for specific conditions. Subsequently, these datasets were employed in training the SVM and RF machine learning algorithms to create a decision support system. This decision support system linguistically expresses the probability of risk occurence by utilizing the severity of damage and combinations of potential hazards and processes based on the conditions of the conducted activity. Linguistic expressions were matched with triangular fuzzy numbers and the numerical repr sentation of risk situations in activities was determined employing the princples of fuzzy inference systems. Based on the data obtained, activities were priortized according to the risk levels they encompass. Risk mitigation planning was then organized based on prioritization, addressing more risky activities before those with lower risk levels. The results of this study offer a practical framework for assessing and addressing risks in real-world scenarios, providing valuable insights for effective risk management in underground mining operations.
  • [ X ]
    Öğe
    INVESTIGATION OF THE EFFECT OF NOISY ENVIRONMENT ON EMPLOYEES' VISUAL ATTENTION
    (Parlar Scientific Publications (P S P), 2020) Kanbur, Savas; Cinar, Ulas
    Occupational health and safety mainly aims to provide a safe working environment free from risk factors. Personal errors come first among the factors affecting occupational accidents and occupational diseases. The deficiency in visual attention is a significant factor that can contribute to erroneous circumstances and actions that may have major consequences. Environmental risk factors influence several parameters directly or depending on the exposure period and severity. Noise is a risk factor that has proven adverse effects on the physiological and psychological characteristics of individuals and has a risk of exposure in almost every area. In this study, the aim was to specify the effect of noisy work environment on the visual and sustainable attention level of the employees. A workgroup was created from occupational safety professionals, where the attention factor occupies a very important place due to the nature of their work. To assess the level of visual focus for the working group, a test explicitly designed for this study was applied at various noise levels and for different times at the maximum appropriate sound intensity. Statistically analyzed data were obtained. Accordingly, the detrimental effect of noise level at 70 dB and above on visual attention was calculated. In addition, as the exposure time increases, the significance of this effect has increased and this situation has been interpreted as the negative effect of noise exposure in the name of sustainable visual attention.
  • [ X ]
    Öğe
    Multi-Criteria Evaluation of Robotic Process Automation Projects Using Proportional Spherical Fuzzy AHP & TOPSIS Methodology
    (Old City Publishing Inc, 2026) Dogan, Onur; Cinar, Ulas; Alkan, Nursah; Gulbay, Murat; Kahrama, Cengiz
    Robotic process automation (RPA) is a core software technology for automating digital tasks quickly and reliably and for enabling enterprise automation to execute business processes with speed and accuracy. Evaluation of RPA technologies is a muti-criteria decision making (MCDM) problem including many intangible criteria whose values are generally vague and imprecise. Spherical fuzzy sets (SFS) is an extension of Picture fuzzy sets providing a larger domain to assign membership degrees. Proportional fuzzy sets (PFS) provides a technique to determine membership degrees with a more consistent and sensitive way. In this article, a multi-expert proportional spherical fuzzy integrated AHP&TOPSIS methodology in which AHP is used for computing the criteria weights and TOPSIS is used for selecting the best RPA alternative is presented. Comparative and sensitivity analyses are also applied to determine the validation and robustness of RPA selection decision.