Dissertação PPG.EGPSA
URI permanente para esta coleçãohttps://rigalileo.itegam.org.br/handle/123456789/3
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Resultados da Pesquisa
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; CAMPOS, Paola SoutoThis dissertation presents the development and evaluation of the PRS (Poligonal Reconnaissance System), designed for automated order verification in industrial environments within the context of Industry 4.0. The main objective was to develop an intelligent order verification system based on computer vision and machine learning, integrating image analysis, depth simulation, and hybrid validation (fixed rules and AI), with a focus on applications in automated shipment processes. The adopted methodology included the use of computer vision techniques to identify and calculate packaging areas in simulated images, depth simulation to correct perspective distortions, and a supervised Random Forest model trained with historical weight and area data. The resulting hybrid system demonstrated accuracy above 94% in detecting volume and weight inconsistencies, significantly reducing verification time and operational rework .Item Implementação do sistema Close Loop Print Control para redução de defeitos no processo SMT numa fábrica de produção de placas eletrônicas no Polo Industrial de Manaus(Instituto de Tecnologia e Educação Galileo da Amazônia, 2025) ARANTES, Carlos Henrique Borges; VIEIRA JUNIOR, MiltonThe growing demand for more compact, efficient, and reliable electronic devices has driven the use of Surface Mount Technology (SMT) in modern production lines. However, the solder paste deposition step remains critical, being responsible for a significant portion of process defects. In this context, this dissertation proposes the implementation of the Close Loop Print Control (CLPC) system as a strategy to reduce failures and improve quality in the production of electronic circuit boards. The study's general objective is to analyze the main defects related to solder paste deposition in an SMT line and propose improvements through the application of the CLPC system. As a method, a case study was conducted in a company located in the Industrial Hub of Manaus, involving the collection of quantitative data (via SPI system and technical reports) and qualitative data (interviews with operators and engineers). The research also included pilot tests, document analysis, and the practical implementation of the CLPC system with continuous monitoring of the production process. The results showed a significant reduction in defects such as solder bridges, missing components, and tombstone effect, as well as improvements in solder paste application uniformity, increased reliability, and positive acceptance by employees. The conclusion indicates that the application of the CLPC system proved effective in automating quality control. By integrating with interoperability and IoT principles, the CLPC aligns with Industry 4.0 practices, thereby contributing to increased efficiency, reduced rework, and enhanced reliability of the final product.Item Análise de Viabilidade Econômico-Financeira e de Maturidade para Implementação de Conceitos Indústria 4.0(Instituto de Tecnologia e Educação Galileo da Amazônia, 2025) TAHER, Thyago Mileo; NASCIMENTO, Manoel Henrique ReisThe adoption of Industry 4.0 technologies and concepts has proven to be an effective strategy for increasing the competitiveness of industrial companies. However, many organizations face challenges in assessing both the economic-financial feasibility and the organizational maturity level required for adopting these technologies in an integrated and simplified manner. This dissertation proposes a model that combines Return on Investment (ROI) analysis with the TOE (Technology, Organization, and Environment) framework, providing a holistic view of the feasibility of transitioning to Industry 4.0. The model was applied to an electronics manufacturing company in the Manaus Industrial Hub, which had already started its technological migration but without using structured evaluation methods. Results showed highly positive financial returns and adequate organizational maturity, confirming the feasibility of implementation. The developed model is concluded to be simple, efficient, and applicable on a large scale, providing industries with a solid foundation for decision-making in digital transformation.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 Implementação do Processo de Montagem de Componentes com Tecnologia SMT para o Máximo de Produtividade(Instituto de Tecnologia e Educação Galileo da Amazônia, 2025) CRUZ JUNIOR, Davi Clementino; VIEIRA JUNIOR, MiltonThe manufacture of electronic products has evolved from wire assembly to SMT (Surface Mount Technology), characterized by component miniaturization and high-speed automation. This dissertation aims to present a systematic roadmap for the efficient implementation of SMT assembly lines during the printed circuit board (PCB) assembly stage. The work covers Design for Manufacturing (DFM), assembly machine programming, and Start Up. An applied methodology is adopted, including theoretical review, equipment analysis, proposal of a best practices checklist, and a case study conducted in a company located in the Manaus Industrial Hub. The results show that proper implementation and balancing of SMT lines can significantly enhance productivity and reduce inefficiencies.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 Desenvolvimento de um dispositivo para eliminar contato manual, reduzir esforço repetitivo e riscos ergonômicos, melhorando a qualidade e reduzindo custos – otimização de processos industriais no Polo Industrial de Manaus (PIM)(Instituto de Tecnologia e Educação Galileo da Amazônia, 2024) CRUZ, Cristovão Santiago da; GUIMARÃES, Gil EduardoThe present work aims to optimize the execution of a manufacturing process by making a practical device to assemble the steel balls and lubricate the motorcycle column tube with grease, thus eliminating the manual contact of the employee with the balls and grease, reducing repetitive effort and also ergonomic risks, following NR17, meeting the safety standards present in NR12 and increasing the efficiency of the production process, improving quality, reducing costs and avoiding injuries to the employee. The company where the project was implemented is located in a strategic area, in the heart of the Americas and the Amazon in the Manaus Industrial Complex, which is one of the most modern industrial and technological centers in all of Latin America. The project was implemented in a factory in the Manaus industrial complex in the two-wheel sector, in the production sector of the Assembly Line. The results showed that the automated device reduced physical effort, eliminated contact with grease, increased assembly precision, and significantly reduced operating costs.Item Sistema inteligente de supervisão e controle de capacidade em processos industriais: interação de SCADA, IA e aprendizado de máquina(Instituto de Tecnologia e Educação Galileo da Amazônia, 2024) ARAUJO, Nelson Michel Matos de; MARINELLI FILHO, NelsonThis study proposes a machine learning-based system for capacity supervision and control in industrial automation. The solution integrates high-precision sensors, programmable logic controllers (PLCs) and a SCADA (Supervisory Control and Data Acquisition) system, allowing real-time monitoring and adjustment of manufacturing processes. The methodology included the development of a software in C# in the Visual Studio 2015 environment, with an interface in a Mi PLC Mitsubishi CPU Q03UDV, and the implementation of the system on a production line for practical evaluation. The results demonstrated the system's ability to maintain the process capability indexes (CpK) above the critical limits (1.33) through the automatic correction of deviations. Key highlights include efficient integration with industrial networks and dynamic adaptation to production variabilities. On the other hand, limitations were identified, such as the dependence on a robust infrastructure and challenges in environments with high electromagnetic interference. The discussion highlights the potential for scalability, application in other industrial contexts, and the inclusion of advanced algorithms, such as neural networks, to enhance predictive capacity to improve predictive ability. Future work suggests exploring more affordable implementations for small and medium-sized businesses, integration with IoT for predictive maintenance, and sustainability assessments. This research contributes to the advancement of intelligent automation, promoting consistent quality and operational efficiency in manufacturing.Item Metodologia para avaliar nível de maturidade da indústria 4.0 e sua correlação com atributos do metaverso industrial(Instituto de Tecnologia e Educação Galileo da Amazônia, 2024) SOUZA, Patrícia Nunes de; GUIMARÃES, Gil EduardoSince Facebook changed its name to Meta, the term "Industrial Metaverse" has been widely disseminated in industrial sectors. This study aims to establish a simple and accessible methodology for companies of different sizes to assess the maturity level of Industry 4.0 tools to prepare the foundations for future implementations in the industrial metaverse. A bibliographic review was conducted to identify the main enabling tools of Industry 4.0 and the attributes of the metaverse according to Weinberg and Gross (2023). Based on this information, a correlation table was developed to guide companies in preparing for the development of metaverse applications. The methodology was applied to a company in Manaus, allowing the assessment of the maturity level of Industry 4.0 tools and identifying critical points for supporting future metaverse initiatives. The results indicated that the company has the potential to implement immersive technologies but needs to improve the interoperability and scalability of internal systems.