HUMAN ERRORS ANALYSIS – A CASE STUDY

Due to the high risk and unpredictability of situations that firefighters encounter during fire-rescue interventions, assessing human reliability is crucial, as any mistake can have serious consequences for the safety of firefighters, vulnerable individuals, as well as natural and material assets. In this paper, the Success Likelihood Index Method (SLIM) was applied to analyze human errors in fire rescue interventions. A scenario involving a fire on the 7th floor of a student dormitory near the Faculty of Electronics in Niš was used for the human error analysis.In this paper, typical performance shaping factors (PSFs) were analyzed, and 10 characteristic errors of firefighters-rescuers were identified, for which the human error probability (HEP) was determined. The analysis revealed that "errors in routine operations" have the highest probability of occurrence, with the most significant contributing PSFs being teamwork and procedures. The results show that SLIM enables the identification of critical points where errors most often occur and provides good guidelines for defining corrective measures and reducing the likelihood of errors occurring among firefighters-rescuers.