Proposta de uma metodologia para construção de indicadores de produtividade para manutenção preditiva utilizando análise de vibração no contexto da indústria 4.0

Abstract

Key Performance Indicator (English), or Key Performance Indicator, is the name given to the management tool that quantitatively evaluates the performance and success of a given process or business, determining and monitoring relevant goals for it. In the context of the Fourth Industrial Revolution, the choice of a system of indicators must consider the integration between the virtual and physical environments, to deliver a reliable and rapid assessment, allowing decision making consistent with the expectations of the parties involved. The use of a reliable vibration measurement system, with vibration sensors and software with a good database, combined with a kpis evaluation system, can prevent premature failure of a plant's equipment. This work has the goal to demonstrate the steps to obtain information, how they are processed and how to build the productivity indicators to be achieved for predictive maintenance, linked to the concepts of industry 4.0, for the evaluated parameters, namely: availability, cost of maintenance and the global average value of vibration, as well as its interaction. The methodology used is applied, descriptive and quantitative, in the form of a case study by survey. The results obtained show its efficiency in reducing maintenance costs and increasing the availability of equipment for production.