Reliability Analysis and Failure Forecast of Critical Components Under Warranty

Companies need to produce durable, safe, and quality products and adopt the best strategies to deal with the occurrence of failures when needed. This not only reduces the risk of failure but also enhances customer confidence. The present study was developed in the cargo handling and lifting industry in a way to identify critical components installed in assets based on data from failure records, and based on the results achieved, develop a reliability analysis on such critical components, allowing to describe their behavior on operating time. The reliability analysis was developed based on statistical theory, using numerical computation through specialized software. It was possible to describe the reliability, the probability of failure, the failure rate, and other characteristics that allow us to predict these probabilities for a specific operating time. Furthermore, a forecast of warranty returns was prepared through the analysis of sales vs returns, which provided an important tool to predict the failures during the warranty period, and thus plan interventions and the need for spare parts, optimizing the entire management of interventions to be carried out in the future. It is also shown that the use of computational tools in this field enhances faster and more visible results.