Akademik Veri Yönetim Sistemi
Euro-Mediterranean Journal for Environmental Integration, cilt.10, sa.6, ss.5717-5728, 2025 (ESCI, Scopus)
This study introduces an innovative method for assessing occupational safety risks in the textile industry, specifically in cotton yarn production. The proposed approach integrates Failure Mode and Effects Analysis (FMEA) with fuzzy logic, offering a robust solution for addressing uncertainties and incomplete data in risk analysis. Unlike traditional methods, this combination allows for a comprehensive evaluation by incorporating expert judgments and subjective assessments of safety levels. Using historical data and expert insights, a fuzzy logic model was developed in MATLAB, enabling the calculation of risk levels through fuzzy inference rules. Key input parameters, such as occurrence rating (P), severity rating (S), and detection rating (D), were analyzed to determine the Risk Priority Number (RPN). The results demonstrate that the integration of FMEA and fuzzy logic provides more reliable and accurate risk assessments compared to conventional methods. This approach not only identifies critical hazards like rotating machine parts, cotton dust, and noise but also proposes actionable safety measures. The study underscores the practical applicability of this model in improving workplace safety and highlights its adaptability to other industries with complex and uncertain environments.