Melhoria de rotinas da manutenção a partir do acompanhamento de indicadores de confiabilidade

Abstract

Maintenance reliability has become increasingly important for increasing the efficiency of equipment and, consequently, for production, since it allows analyzing the worst equipment and then taking corrective, preventive and predictive actions to avoid future failures. Important reliability indicators are MTBF( Mean Time between Failures), MTTR (Mean Time to Repair) and Flaw Rate, which measures the rate of equipment breakdown through predictive maintenance. This work has the objective of developing improvements for monitoring this indicators. In order to perform this work, a PDCA cycle was applied, then the worst MTBF and MTTR analyzes were created, as well as a predictive maintenance manager, related to Failure Rate, which encompasses all variables of the indicator. Through the analyzes, it was possible to improve the indicators, with MTBF rising from an annual average of 314.4 to 404.7 minutes, and MTTR from 21.3 to 20.7 minutes. If only the application period of the project is analyzed, between July and December 2017, the results are even better, with MTBF averaging 494.9 minutes and MTTR of 20 minutes. In addition, it was possible to obtain a reduction of R$ 651,377.50 in costs, comparing the first and the second half, already with the project implementation. For the Flaw Rate, after the creation of the manager, there was a reduction of 3.41% to 3.21% in the annual average, complete elimination of backward orders in the system and also a reduction from 13 repeated failures in June to only 1 in December.