Desenvolvimento de um aplicativo para melhoria do processo de coleta e análise de dados em uma indústria automotiva

Abstract

This Course Completion Work (TCC) addressed the development of an application using Low Code technology in the production line of an automotive industry in the area of painted part inspection, with the aim of ensuring better efficiency and agility in the process of analyzing the inspection data of painted parts. The primary objective was to simplify and improve data collection and analysis, modifying the old manual paper recording method with a digitalized system. The implementation of the application enabled the transition to a more efficient and organized environment, where the data found is now stored in a database, providing greater accessibility, privacy and security. The end result was significant operational optimization and a higher quality of results obtained, highlighting the effectiveness and benefits of using low-code technologies for continuous improvement in industrial environments. The reduction in the use of paper was noted, making it irrelevant to the process, eliminating the time lost in transferring data from paper to Excel and mitigating errors in data transcription and identification, in addition to time monitoring of the parts painting process. Obtaining instant information about the operation allowed a quick response, ensuring risks were minimized and opportunities were taken advantage of.