Solução digital para gestão de manutenção de equipamentos de solda a ponto

Abstract

In the industrial setting, especially in the automotive sector, spot welding gun are essential equipment in welding processes. One of the main sources of failure in this equipment is the welding gun cabling, which can suffer mechanical and electrical wear, compromising the quality of the weld. Predictive maintenance is essential for continuous monitoring of the condition of the cables, but manually analyzing the data collected periodically has proven to be unproductive. Given the need to make equipment monitoring more productive, reduce the risk of downtime, and make it easier for maintenance teams to do their job, this work aims to evelop and implement a low-cost, easy-to-use digital solution, integrating Microsoft Power Apps, Power Automate, SharePoint, and Power BI tools, in response to the challenges faced in the predictive maintenance of welding gun cables in an automotive factory in the southern region of Rio de Janeiro. The rationale is based on the need to optimize maintenance management, reducing response time and decision-making regarding the replacement of damaged cables. The methodology adopted was exploratory and descriptive, with a mixed approach and case study, involving data collection in the manufacturing environment, system development, and testing with the company's technicians and analysts. The digital system made it possible to record measurements, cables to be classified, issue automatic alerts, and perform quick analyses via the dashboard. As a result, there was improved traceability, reduced maintenance response time, and avoided costs due to the ease of managing the activity.