PPG.EGPSA/ITEGAM
URI permanente desta comunidadehttps://rigalileo.itegam.org.br/handle/123456789/1
A comunidade dispõe da produção técnica e científica do Programa de Pós-graduação em Engenharia, Gestão de Processos, Sistema e Ambiental (PPG.EGPSA) do Instituto de Tecnologia e Educação Galileo da Amazônia (ITEGAM), fruto da atividade de pesquisa e desenvolvimento (P&D). É possível acessar os trabalhos de conclusão do programa de pós-graduação, artigos e livros vinculados a pesquisa, desenvolvimento, inovação e extensão.
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10 resultados
Resultados da Pesquisa
Item Sistema ciberfísico na indústria 4.0 - aplicado em testes de deficiência dielétrica em unidades evaporadoras de aparelhos de ar condicionado(Instituto de Tecnologia e Educação Galileo da Amazônia, 2024) ALENCAR, Wanderson Gray Rodrigues de; ALENCAR, David Barbosa deCyber-physical systems (CPS) have played a central role in the digital transformation of Industry 4.0, especially in industrial sectors such as HVAC (heating, ventilation and air conditioning). This study presents the application of CPS in the dielectric strength test of air conditioning evaporators, an essential component for the safety and efficiency of equipment. The main objective was to model an automated control system that integrates CPS to monitor and optimize dielectric tests, overcoming the limitations of traditional methods. The research included mapping the electronic testing process, identifying operational bottlenecks, gathering requirements for system modeling and comparative evaluation between traditional and automated methods. The proposed system integrates SCARA robots, industrial vision cameras and HIPOT devices, controlled by a PLC (Programmable Logic Controller). The results indicate significant improvements in accuracy, safety, efficiency and traceability, reinforcing the potential of adopting CPS for critical industrial processes.Item Desenvolvimento de um protótipo de gateway para coleta e transmissão de dados em sistemas de manuseamento de materiais - Gate Move 4.0(Instituto de Tecnologia e Educação Galileo da Amazônia, 2024) AMARAL, Carlos Henrique; LEITE, Jandecy CabralCurrently, material handling systems are fundamental in industries such as manufacturing, logistics, and distribution, performing critical functions in the movement, storage, control, and protection of materials throughout production and distribution processes. With the advancement of digital technologies and the emergence of Industry 4.0, there is a growing need for more intelligent and interconnected systems capable of collecting and transmitting real-time data, thus improving operational efficiency and decision-making. The primary objective of this study was to develop a gateway prototype called Gate Move 4.0, designed to efficiently and reliably collect and transmit data in material handling systems. The methodology adopted for the development of Gate Move 4.0 was organized into several stages, including requirements analysis, selection of system architectures and communication protocols, and prototype development and validation. The study results showed that Gate Move 4.0 is a functional prototype, meeting the proposed objectives and demonstrating satisfactory performance under various operating conditions. The key findings include data collection efficiency, connectivity and flexibility, and a positive impact on operational efficiency. Thus, this research contributes to the evolution of these systems towards more intelligent and interconnected operations within the Industry 4.0 context.Item Aplicação de inferência fuzzy para tomada de decisão em processos de SMT: um caso no PIM(Instituto de Tecnologia e Educação Galileo da Amazônia, 2024) LEITE, Herbety Lima; ALENCAR, David Barbosa deSurface Mount Technology (SMT) is widely used in the production of electronic components, especially in the Manaus Industrial Pole (PIM), one of the largest electronics production centers in Brazil. However, its complexity and sensitivity to parameter variations, such as temperature and alignment, pose significant challenges to process accuracy and consistency. Traditional control methods, such as PID, often fail to meet the adaptability and efficiency demands required in these scenarios. Fuzzy logic emerges as a promising alternative, providing support in situations of uncertainty and variability. This study developed and implemented a fuzzy inference system for controlling critical parameters in SMT processes at PIM. The methodology involved identifying key variables, such as temperature and pressure, and constructing a fuzzy model based on linguistic rules and expert knowledge. The system was validated through comparative analysis before and after its implementation, evaluating aspects such as production efficiency, rework rate, and final product quality. The application of the fuzzy system resulted in significant improvements in the efficiency of the SMT process. There was a reduction in assembly failures, less need for rework, and greater consistency in production. In addition, the system demonstrated greater adaptability to operational variations compared to traditional control methods, contributing to more sustainable and efficient production. The use of fuzzy inference systems in SMT processes at PIM proved to be an effective approach for optimizing decision-making, improving quality and production efficiency. This research reinforces the role of fuzzy logic as a viable tool for meeting the demands of Industry 4.0, promoting innovations in industrial automation, and contributing to the competitiveness of PIM companies.Item Sistema Ciber-Físico na Indústria 4.0 - Aplicado em Testes de Rigidez Dielétrica em Unidades Evaporadoras de Aparelhos de Ar-Condicionado(Instituto de Tecnologia e Educação Galileo da Amazônia, 2025) ALENCAR, Wanderson Grey Rodrigues de; ALENCAR, David Barbosa de; SANTOS, Eliton Smith dos; CAMPOS, Paola Souto; MORAES, Nadime Mustafa; SANCHES, Antônio Estanislau; LEITE, Jandecy CabralCyber-physical systems (CPS) play a central role in the digital transformation of Industry 4.0, especially in industrial sectors such as HVAC (heating, ventilation, and air conditioning). This study presents the application of CPS in dielectric strength testing of air conditioning evaporator units, essential for ensuring equipment safety and efficiency. The main objective was to develop an automated control system integrating CPS to monitor and optimize these tests, overcoming the limitations of traditional methods. The proposed system demonstrated significant improvements in accuracy, safety, efficiency, and traceability.Item Digital Technologies Review for Manufacturing Processes(Instituto de Tecnologia e Educação Galileo da Amazônia, 2022) PARENTE, Ricardo Silva SILVA, Italo Rodrigo Soares SIQUEIRA JUNIOR, Paulo Oliveira UHLMANN, Iracyanne Retto; LEITE, Jandecy CabralThe industrial processes transformation caused by Industry 4.0 is advancing in countries like China, Japan, Germany, and the United States. However, developing countries such as Brazil still face challenges in adapting to the digital era. This study presents a review of the main technologies used in smart manufacturing and the challenges of its implementation in Brazil. The research was based on 114 articles and two books collected from the Web of Science database. The results indicate that the primary challenges for Industry 4.0 adoption in Brazil include poor technological infrastructure, lack of investment in technology, and insufficient training of qualified professionals. Although the study focuses on the Brazilian scenario, its conclusions are applicable to other emerging countries, providing a general overview of concepts and practical applications developed by the international academic community.Item Transformação Digital no Polo Industrial de Manaus: Aumento da Eficiência na Produção de Baterias de Lítio através da Indústria 4.0(Instituto de Tecnologia e Educação Galileo da Amazônia, 2024) DAMASCENO, Alexandre Holanda; LEITE, Jandecy Cabral; BRITO JUNIOR, Jorge de Almeida; QUEIROZ JÚNIOR, Fernando Cardoso de; LEITE, Jandecy CabralThe lithium battery industry faces increasing challenges in terms of demand and expectations for sustainability and efficiency. In the context of the Manaus Industrial Hub, this study explores the application of Industry 4.0 technologies to overcome these challenges and increase production efficiency. The research implemented integrated cyber-physical systems, advanced automation, and real-time data analysis in a lithium battery assembly line, replacing manual processes with automated solutions. The results demonstrated significant improvements in production accuracy and speed, with a 40% reduction in cycle time and a 75% decrease in product rejection rates, highlighting the potential of digitalization to optimize industrial operations and meet the demands of a competitive global market. This study contributes to the literature on digital transformation in manufacturing, offering practical insights into the implementation of emerging technologies in complex industrial environments.Item Application of Automation and Computer Vision in Reducing Failures in the Production Process of Safety Belts(Instituto de Tecnologia e Educação Galileo da Amazônia, 2024) SOUZA, Kerlisson Silva de; SANTOS, Eliton Smith dos; ALENCAR, David Barbosa de; NASCIMENTO, Manoel Henrique Reis; SANTOS, Alyson de Jesus dos; LEITE, Jandecy CabralProduct quality is a key factor for companies to stand out in a highly competitive market. In the Manaus Industrial Hub (PIM), defect detection in safety belts is a crucial stage in the production process. This study proposes the automation of this process using computer vision and artificial intelligence (AI). The developed system captures images of the parts and applies Deep Learning techniques to identify defects. The results demonstrated 100% accuracy in defect detection, indicating that the proposed solution is effective in improving reliability and reducing waste in the manufacturing of safety belts.Item Otimização de Processos Industriais no Polo Industrial de Manaus (PIM): Desenvolvimento de um Dispositivo para Eliminar Contato Manual, Reduzir Esforço Repetitivo e Riscos Ergonômicos, Melhorando a Qualidade e Reduzindo Custos(Instituto de Tecnologia e Educação Galileo da Amazônia, 2025) CRUZ, Cristovão Santiago da; GUIMARÃES, Gil Eduardo; MARINELLI FILHO, Nelson; CORREA, Geraldo Nunes; TREVISOL, Janyel.; LEITE, Jandecy CabralThis study presents the development and implementation of an automated device for assembling steel balls and applying grease to column tubes in motorcycle production lines. The objective was to eliminate manual contact, promote ergonomic improvements, and optimize the production cycle. The methodology included requirements analysis, prototyping, pilot testing, and validation in a real environment. The results demonstrated a 25% reduction in cycle time, a 40% increase in product quality, and significant improvements in ergonomic indices. The economic analysis showed a financial return in less than 12 months. This work highlights the benefits of automation and suggests expanding the device to other stages of the production process, integrating advanced technologies such as artificial intelligence and cyber-physical systems to enhance efficiency and quality gains.Item Estudo de Caracterização da Eficiência Produtiva nas Indústrias de Montagem de Eletroeletrônicas do Polo Industrial de Manaus por Meio do Cálculo do OEE - Caso de Estudo de Automação(Instituto de Tecnologia e Educação Galileo da Amazônia, 2024) MONTEIRO, Isabela Zanotto; MARINELLI FILHO, Nelson; GUIMARÃES, Gil Eduardo; CORREA, Geraldo Nunes; FERREIRA, Matheus Rissardi; MARINELLI FILHO, NelsonThis study presents the implementation of Industry 4.0 enabling technologies, with an emphasis on the use of Digital Twins and the automation of OEE (Overall Equipment Effectiveness) calculation, applied to an electro-electronic assembly line at the Manaus Industrial Pole (PIM). The objective was to develop a solution capable of identifying, in real time, the times and reasons for production stoppages, aiming to optimize industrial processes and reduce operational costs. Data were collected through IoT sensors installed on production lines, integrated into a digital platform that virtually replicated the factory plant in a Digital Twin system. OEE was automatically calculated based on three main indicators: Availability, Performance, and Quality. Simulations in the virtual environment identified production bottlenecks and allowed predictive actions to prevent failures and optimize machine performance. The results, obtained over 80 days of monitoring, showed an evolution in productive efficiency indicators, with a reduction in unplanned downtime, dynamic adjustment of production parameters, and improvement in product quality, positively impacting industrial sustainability and energy efficiency.Item Sistema Automatizado para Monitoramento e Gerenciamento das Pulseiras Eletrostáticas por Meio de Dashboard(Instituto de Tecnologia e Educação Galileo da Amazônia, 2025) MAUÉS, Elvis Jardim; LEITE, Jandecy CabralThis document certifies the registration of the software entitled "Automated System for Monitoring and Managing Electrostatic Wristbands via Dashboard." Developed in C++, the system enables real-time control and monitoring of electrostatic wristbands used in industrial environments, with data visualization through an intuitive dashboard. The program aims to enhance safety and operational efficiency, providing an innovative solution for managing electrostatic devices.