Desenvolvimento de dashboard para detecção de anomalias em processos de manufatura utilizando técnicas de análise e ciência de dados

Abstract

This paper describes the development of an interface that provides real-time information about the productive process of an electro electronic sector factory in the Industrial Pole of Manaus, aiming to facilitate data-driven decision-making. The goal is to optimize the response time of the factory's technical teams in the face of anomalies, such as high machine cycle time, low productivity, and high reject rates. Initially, the production managers define the indicators of interest and the type of commercial software that will be responsible for real-time visualization of these indicators. Subsequently, an application is developed to send information from the Manufacturing Execution System (MES) to the software. Finally, the objective is to demonstrate tangibly, through operational results, the benefits of using data for root cause analysis and how this can positively impact sectors such as maintenance, engineering, and quality within factories. Thus, proposals are made for ways to expand the project regarding the development of software applied to specific applications.