Inclusion of cost factor in addition to probability, frequency, and severity factors Risk assessment using MC-HFLTS Comparative analysis for pre-improvement and post-improvement conditions According to the occupational health and safety law, it is necessary to take protective and preventive measures against risks by conducting risk assessment to ensure occupational health and safety in the workplaces. Many qualitative or quantitative methods are used in occupational health and safety risk assessment. In this study, which offers a new perspective on the Fine-Kinney method which is widely used in workplaces, "Cost" factor was included in addition to the "Probability", "Frequency", and "Severity" factors and a risk assessment model based on Multi-Criteria Hesitant Fuzzy Linguistic Term Sets (MC-HFLTS) was proposed. Figure A. The flow chart of the proposed method Purpose: The aim of this study is to determine the weights of factors, evaluate the hazards, determine the weights of measures, and take corrective and preventive control measures by using the proposed model. Theory and Methods: In this study "cost" factor was included in addition to the "probability", "frequency", and "severity" factors used in Fine-Kinney method and a risk assessment model based on Multi-Criteria HFLTS was implemented in the molding unit of a company operating in the plastics industry. Firstly, the hazards were determined in line with the opinions of the experts and the weights of factors were determined using MC-HFLTS method and then the hazards were prioritized on the basis of factors. Following the assessment of the hazards, measures that could be taken were weighted by using the same method and necessary measures were taken. Results: The most important factor was the "Severity" and the hazard type with the highest weight was determined as "Hazards that may cause fire and explosion". After improvement, the hazards were reevaluated using the same method and the rankings were compared. Conclusion: It is appropriate to use the proposed to evaluate the occupational health and safety risks. For future work, the number of factors may be increased and sensitivity analysis may be performed to show the robustness of the decision-making process.
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