A model and application of occupational health and safety risk assessment

An efficient Occupational Health and Safety System (OHSAS) and successful risk analysis are required to prevent accidents in companies. Subjectivity within experts' view effects risk analysis and results. This study consist of two phases which are evaluations of risks and preventive actions, the efficiency of traditional risk analysis approach has been increased with the integration of Fuzzy Logic and Multi-Criteria Decision Making (MCDM) methods. In the first phase, ``cost{''} factor was included in addition to ``probability{''} and ``violence{''} factors employed in traditional risk analysis. Hazards are ordered by F-TOPSIS with respect to these weights. In the second phase, preventive actions are ordered by F-TOPSIS with respect to hazard factor weights. Hazard factor weights were taken into account while ordering preventive actions, risks and preventive actions are simultaneously evaluated. The proposed approach was applied in a metal industry company and it is revealed that ``cost{''} factor is more important than ``probability{''} and ``violence{''} in determining hazards values. While ``Operating Environment, Machinery-Related and Employee-Related{''} hazards are determined as the primary three sources of risks, ``Field Exercise, Internal Trainings and Machinery Renewal are identified as the three primary actions to eliminate these risks