Manutenção e confiabilidade: Um modelo para análise de dados de performance em caminhões de mineração utilizando o power bi.

Abstract

Modern Mining is defined by large-scale and high-risk operations, which require advanced equipment and technologies to ensure the safety and efficiency of operations. In this special context, there is the need to control the information from the operation to make decisions about the processes of maintenance and repair of assets, obtaining some predictability of the effects resulting from actions for maintenance management, guided by operational data recorded in previous periods. Aligned with the guiding principles of operations anagement, maintenance management and Big Data, this study proposes the development of a digital model to analyze performance and reliability data of a fleet of mining trucks currently in operation in an iron mine in the Brazil north. The work is based on Microsoft Power BI software, where a panel was developed that centralizes the key performance indicators of the fleet and maintenance history, from these data offers additional information using statistical and mathematical tools, The study uses the Weibull Distribution for modeling the Reliability R(t) and Failure Probability F(t) using data of equipment failure information. This model aims to offer more information about the performance of the fleet mining trucks, making available to the management and maintenance planning team, a solution of simple use to guide the optimal strategic decisions based on an analytical vision and in accordance with the World - Class maintenance in modern mining around the world.