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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14 resultados
Resultados da Pesquisa
Item Desenvolvimento de um sistema inteligente para secagem e cura autônoma na fabricação de produtos autoadesivos(Instituto de Tecnologia e Educação Galileo da Amazônia, 2025) SOUZA, Raimundo Alberto Farias de; SANTOS, Eliton Smith dosThe production of reflective strips requires high precision and efficiency, especially for traffic signage and automotive applications. However, traditional drying and curing methods for chemical layers, such as paints and varnishes, rely on long outdoor periods, compromising product quality and reducing productivity. This study proposes the development of an integrated hardware and software model that allows automatic detection of the curing level, using controlled light radiation sources to accelerate the drying process and ensure greater uniformity. The research includes the creation of a controlled environment prototype and a Human-Machine Interface (HMI) monitoring system to optimize industrial production. The theoretical foundation is based on the application of ultraviolet (UV) photopolymerization technology, aiming to improve product quality, production efficiency, and process sustainability.Item Análise dos Desafios na Transição para Indústria 4.0: um Estudo Sobre a Integração de Sistemas de Custeio em Ambientes Automatizados(Instituto de Tecnologia e Educação Galileo da Amazônia, 2025) SILVA, Maeli Oliveira da; MARINELLI FILHO, NelsonThis paper analyzes the challenges faced during the transition from traditional costing systems to absorption costing systems in the context of Industry 4.0. Through the analysis of heat maps applied to an industrial costing spreadsheet for electronic components, the study identifies and categorizes inconsistencies that reflect broader structural challenges of industrial digital transformation. The methodology was based on the application of data visualization techniques to identify null and zero values at different stages of the migration process. The results reveal seven critical categories of inconsistencies: interoperability issues, complexity in the allocation of indirect costs, implementation and maintenance costs, workforce training, real-time data management, compliance and security, and adaptation to the dynamics of Industry 4.0. It was concluded that such inconsistencies represent significant barriers to a successful transition, especially in industries with a high degree of automation. The study proposes a framework for assessing and mitigating these challenges, contributing to the literature on digital transformation in the Brazilian industrial context.Item Análise dos Desafios na Transição para Indústria 4.0: Um Estudo Sobre a Integração de Sistemas de Custeio em Ambientes Automatizados(Instituto de Tecnologia e Educação Galileo da Amazônia, 2025) SILVA, Maeli Oliveira da; FILHO, Nelson Marinelli; GUIMARÃES, Gil Eduardo; LEITE, Jandecy Cabral; FERREIRA, Matheus Rissardi; Jandecy Cabral LeiteThis paper analyzes the challenges faced during the transition from traditional costing systems to absorption costing systems in the context of Industry 4.0. Through the analysis of heat maps applied to an industrial costing spreadsheet for electronic components, the study identifies and categorizes inconsistencies that reflect broader structural challenges of industrial digital transformation. The results reveal seven critical categories of inconsistencies: interoperability issues, complexity in the allocation of indirect costs, implementation and maintenance costs, workforce training, real-time data management, compliance and security, and adaptation to the dynamics of Industry 4.0. It was concluded that such inconsistencies represent significant barriers to a successful transition, especially in industries with a high degree of automation.Item Automation and Intelligent Control in Drying and Curing of Paints and Varnishes: Application of Industry 4.0(Instituto de Tecnologia e Educação Galileo da Amazônia, 2025) SOUZA, Raimundo Alberto Farias de; SANTOS, Eliton Smith dos; ALENCAR, David Barbosa de; CAMPOS, Paola Souto; MORAES, Nadine Mustafa; Jandecy Cabral LeiteThis research aims to investigate the technologies, methods, and challenges in the drying and curing process of paints and varnishes applied to reflective strips, focusing on implementing Industry 4.0-based solutions. It proposes an integrated hardware and software model to automatically detect the curing level through light radiation, along with a real-time control system to optimize the process. Among the evaluated technologies, ultraviolet light curing (photopolymerization) stands out, aiming to enhance industrial production with quality and efficiency.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.