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.
Navegar
18 resultados
Resultados da Pesquisa
Item Desenvolvimento de um Sistema para Monitoramento de Paradas de Máquinas em Linhas de Produção Aplicado ao Processo da Indústria 4.0(Instituto de Tecnologia e Educação Galileo da Amazônia, 2025) LEITE, Jandecy Cabral; SILVA, Valdir Francelino da; SILVA, Simone daCertificate issued by the Brazilian National Institute of Industrial Property (INPI) for the registration of the computer program entitled Development of a System for Monitoring Machine Downtime in Production Lines Applied to the Industry 4.0 Process. Developed in Python, the software aims to monitor equipment stoppages in production lines, providing strategic data to reduce losses, increase operational efficiency, and support decision-making in industrial environments aligned with Industry 4.0 concepts. The registration grants legal protection of the software for 50 years under Law No. 9.609/1998, ensuring proprietary rights to ITEGAM and the authors.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 study analyses the challenges faced during the transition from traditional costing systems to absorption costing systems in the context of Industry 4.0. By applying heat maps to industrial costing spreadsheets of electronic components, inconsistencies were identified that reflect broader structural barriers of industrial digital transformation. The methodology relied on data visualization techniques to detect null and zero values at different stages of the migration process. The results revealed seven critical categories of inconsistencies: interoperability issues, complexity in indirect cost allocation, implementation and maintenance costs, workforce training, real-time data management, compliance and security, and adaptation to Industry 4.0 dynamics. It was concluded that such inconsistencies represent significant barriers to transition, especially in highly automated industries. The study also proposes a framework for assessment and mitigation, contributing to the literature on digital transformation in the Brazilian industrial context.Item Sistema Inteligente de Verificação de Pedidos com Visão Computacional e Aprendizado de Máquina para Expedição Industrial 4.0(Instituto de Tecnologia e Educação Galileo da Amazônia, 2025) THEOCHAROPOULOS, Scarlette Silva; SILVA, Maeli Oliveira da; CAMPOS, Paola SoutoCertificate issued by the Brazilian National Institute of Industrial Property (INPI) for the registration of the computer program entitled Intelligent Order Verification System with Computer Vision and Machine Learning for Industrial 4.0 Shipping. Developed in Python, the software aims to optimize industrial processes by integrating computer vision algorithms and machine learning techniques to automate shipping in the context of Industry 4.0. The registration provides legal protection for 50 years under Law No. 9.609/1998, ensuring the proprietary rights of the authors and the holding institution over its technological application.Item Sistema Inteligente de Secagem e Cura Aplicado ao Processo de Fabricação de Etiquetas Autoadesivas: Uma Abordagem com Tecnologias da Indústria 4.0(Instituto de Tecnologia e Educação Galileo da Amazônia, 2025) LUNIERE, Hallisom; SANTOS, Eliton Smith dosThis dissertation proposes the development of an intelligent drying and curing system for self-adhesive labels, based on Industry 4.0 technologies. The study aims to enhance performance, autonomy, and quality in the industrial manufacturing process through the implementation of artificial intelligence, IoT sensors, and embedded automation. The research adopts an applied methodology, involving prototype development, empirical testing, and system modeling. The results indicate significant improvements in humidity control, process time reduction, and energy efficiency. The proposed system proves feasible and promising for companies in the Manaus Industrial Hub involved in label and sticker production.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.