Estratégias de priorização de segurança do trabalho: um modelo multicritério baseado na apreciação de riscos

Abstract

This dissertation investigates the prioritization of safety actions for machines and equipment using a multi­criteria decision­making model (MCDM) based on risk analysis (risk assessment ­ RA). The research is driven by the need to mitigate occupational risks and reduce work­related accidents associated with machinery. The objective is to propose a hybrid decision support model that identifies, evaluates, and prioritizes safety actions. The methodology combines the Analytic Hierarchy Process (AHP) for determining decision criteria weights and the Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS) to rank actions. Data was collected from academic sources and through elicitation with industry experts. The results show that the proposed model effectively prioritizes safety actions by considering implementation costs, accident severity, and probability of occurrence, leading to a more appropriate allocation of resources. Sensitivity analysis demonstrated the model's adaptability to different industrial contexts. It is concluded that the proposed MCDM model contributes to improved workplace safety and operational efficiency.