Métodos de análise de confiabilidade na gestão da manutenção: uma abordagem teórica

Abstract

In the current industrial environment, the growing complexity of production processes and intense global competition have led companies to adopt efficient strategies to ensure operational continuity and optimize resource utilization. Over recent decades, maintenance management has undergone a significant transformation, shifting from a reactive strategy, focused on repairs after problems arise, to a proactive approach aimed at preventing failures and enhancing asset performance. In this context, reliability emerges as a fundamental concept, making maintenance management have it as crucial for decision-making processes. However, challenges such as the lack of reliable data and the scarcity of qualified human resources are obstacles that managers face when implementing different management criteria. This work presents an analysis of methods for assessing asset reliability, categorizing them according to organizational needs and characteristics. For the project development, maintenance characteristics and reliability-focused maintenance management methodologies were presented, along with emerging management techniques. The analysis includes a comparison of reliability assessment methods such as Fault Tree Analysis (FTA), Failure Mode and Effects Analysis (FMEA), Bayesian Networks, and Monte Carlo Simulation. This study classified and compared these methods to facilitate their implementation, assisting managers in selecting the best cost-benefit option for their organization.