Utilização de business intelligence no planejamento e controle da manutenção para a automação da análise de dados

Abstract

In the current scenario, new information technologies are reshaping production processes, while the maintenance sector of companies is still in the early stages of implementing Industry 4.0. This study aims to develop and implement a customized report automation system to optimize decision­making in the context of industrial maintenance at an agricultural cooperative in Campos Gerais. The research comprises four distinct stages: literature review using Methodi Ordinati to identify the most cited indicators in recent publications on industrial maintenance; surveying indicators used by the sector and conducting research with maintenance professionals to assess the need for adopting new specific indicators for the company under study; data collection and report programming through Power BI, according to the maintenance team's needs and expectations; and finally, the development and implementation of the report automation system. The system was successfully implemented, and furthermore, there was a practical realization that the maintenance sector not only focuses on operational aspects but also on human factors.