Plano de ação baseado na manutenção preditiva e cálculo de OEE em uma bomba centrífuga de reposição de água de caldeira

Abstract

With increasing competitiveness in the agribusiness market, it becomes an obligation for companies in the industry to study and adapt effective ways to apply maintenance techniques to optimize resources as a strategic way to reduce costs and increase efficiency, bringing gains in performance and price reduction that reaches the customer. When it comes to meat industry, situated in a context where agribusiness represents a large part of Brazilian revenues and where competition is quite high, maintenance management becomes crucial to sustain the operation of a meat factory. There are several challenges that maintenance finds in a plant in this industry, from production line machines, boilers, to machine room compressors, resource management and people needs to be effective. For this purpose, the steam generation area was chosen to apply methods of predictive maintenance and management; the methods used being the vibration analysis of the boiler replacement pump, an OEE analysis based on the steam production data and statistical calculations of Weibull with data taken from the corrective pump maintenance history. Therefore, through this study it was possible to extract a low reliability of the process in the short term, to show through data that the boiler operated in a non-competitive way and to verify that there were irregular vibratory movements in the pump bearings, justifying the implementation of a focused action plan in predictive maintenance.