Abstract
A complete understanding of the multitude of roles that people play in the work process, as well as factors that influence people’s decision-making is crucial for accident prevention and operational efficiency through reduction of risk, elimination of any shortcomings, and successful functioning and maintenance of the production process. The method used to analyze, identify, and reduce human errors is a vital aspect of managing a production system.We conducted a study at ArcelorMittal LLC in Zenica, Bosnia and Herzegovina, where the HFACS "Human Factors Analysis and Classification System" approach was applied to identify human errors in accident analysis. The results of this study indicate that the most significant causes of human error and accidents are "preconditions for unsafe acts" (36%), followed by "unsafe supervision" (31%), "unsafe acts" (21%) and“organizational influences” (12%). Based on these results, we concluded that HFACS can be used not only for the identification of human errors but also as a tool for defining corrective measures and reducing human errors.
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