Desenvolvimento de sistema inteligente de manufatura enxuta para gerenciamento e controle da produção do medidor eletrônico.

Abstract

This project presents a viable solution to the problem of communication, integration and control of information in the manufacturing process of the electronic meter, a product that includes an Intelligent System. The aim was to develop an Intelligent System for Lean Manufacturing to support decision-making when using Production Control processes to guarantee product quality and reduce production costs. The advancement of technologies in manufacturing processes aligned with methodologies that enable production efficiency, this project demonstrates a focus on the modernization of factories by using the pillars of industry 4.0 to enable new investment perspectives and fit the company into the process maturity requirements. The software was developed for a company in the Manaus Industrial Estate (PIM). It used Machine Learning, Deep Learning and various methods such as: optimization, bio-inspired, classification and pattern recognition, heuristic, iterative and Newton methods. The results showed that the main development phases were validated, obtaining a computational model applied to production demand forecasting with knowledge generation made available on production and quality dashboards and the Intelligent System with integration via API and development stacks with modern resources (web frameworks), developing with quality metrics: reliability, security, availability and robustness.