Dissertação PPG.EGPSA
URI permanente para esta coleçãohttps://rigalileo.itegam.org.br/handle/123456789/3
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150 resultados
Resultados da Pesquisa
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 Uso da Ferramenta OEE para Otimizar o Processo de Fabricação de Placas de Circuito Impresso no Processo SMT(Instituto de Tecnologia e Educação Galileo da Amazônia, 2025) MEDEIROS, Gelson Ricardo Martins; SANTOS, Eliton Smith dos; ALMEIDA, Luiz Fernando Correia de AlmeidaThis dissertation addresses the application of the Overall Equipment Effectiveness (OEE) metric in the Surface Mount Technology (SMT) process to optimize production efficiency in a company located in the Manaus Industrial Hub. The study identifies the main losses affecting the printed circuit board assembly line, classifies these losses, and proposes improvement actions based on the Total Productive Maintenance (TPM) methodology. The methodology includes a case study, data collection from production lines, expert interviews, and practical application of performance indicators. The results demonstrate that the use of the OEE tool, combined with corrective and preventive measures, can enhance SMT line efficiency and significantly reduce losses related to downtime, speed, and quality.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 DE 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) SILVA, Valdir Francelino da; SILVA, Simone daIn today's industry, optimizing production requires efficient control of machine downtime. Considering the example of a mobile charger factory, where frequent downtimes occur due to equipment failures, it is essential to implement a system that provides real-time data to support decision-making. In this context, this project addresses the issue of frequent machine stoppages in production lines, a significant challenge for operational efficiency in modern industry. The research highlights the importance of a monitoring system that can reduce downtime and optimize production, with the central objective of developing a robust system that provides realtime data on the condition of machines, enabling quick intervention and preventive maintenance. To achieve this objective, methods such as the implementation of intuitive dashboards and the analysis of key performance indicators, such as MTBF Mean Time Between Failures and MTTR - Mean Time to Repair, will be employed. This work aims to demonstrate the effectiveness of the proposed system by reducing machine stoppages and improving overall operational efficiency, contributing to an increase in OEE Overall Equipment Effectiveness, leading to more stable and reliable 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 Proposta de uso dos conceitos do Lean para a melhoria de serviços educacionais em escolas públicas do Estado do Amazonas(Instituto de Tecnologia e Educação Galileo da Amazônia, 2024) COSTA, Lucas Lima da; VIEIRA JUNIOR, MiltonGiven the challenges faced by public schools in the state of Amazonas in offering quality educational services, it is essential to adopt innovative approaches to diagnose problems, propose solutions and promote improvements. The lean concept, originally developed in the industrial sector with a focus on eliminating waste and optimizing processes, is a suitable methodology for improving educational services. This study proposes the application of lean principles and tools with the aim of increasing the quality of the services provided, reducing costs and increasing the satisfaction of those primarily involved in the educational process, analyzing their effectiveness in the context of public schools in Amazonas. Semi-structured interviews were conducted with employees of the institutions, with the aim of identifying waste that impacts on the services provided. Based on the analysis, a framework was developed with practical recommendations for implementing lean in schools, offering an accessible solution that aims to promote process optimization and continuous improvement in the educational environment.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.Item Otimização da produção de baterias de lítio: implementação de tecnologias da indústria 4.0 no polo industrial de Manaus(Instituto de Tecnologia e Educação Galileo da Amazônia, 2024) DAMASCENO, Alexandre Holanda; LEITE, Jandecy CabralThis work addresses the integration of cyber-physical systems for the automation of industrial processes at the Manaus Industrial Pole (PIM), with a focus on lithium battery production. The justification for the study is anchored in the growing demand for electronic devices, which requires greater efficiency and quality in battery production while seeking to reduce operational costs and improve worker ergonomics. The theme of the study involves the application of Industry 4.0 technologies, with the aim of modernizing the production process of the Manaus Industrial Pole, aligning it with global market demands and the need for automation. The objectives of the work included the creation of an automation prototype consisting of 12 stations, in order to increase precision, reduce variability, and improve the performance of the production line. Furthermore, real-time monitoring systems and advanced robotics were integrated to optimize the critical phases of battery production. The methodology used involved mapping the previous manual production process, followed by the implementation of an automated system. Comparative data on efficiency, rejection rate, and cycle time were collected before and after automation to assess the impact of improvements. The main results indicate a significant increase in productivity, with a reduction in cycle time from 5 to 3 minutes and a drop in the rejection rate from 12% to 3%. Automation also contributed to a reduction in operational costs and an increase in overall equipment efficiency. The conclusions indicate that modernization, aligned with Industry 4.0 technologies, brought substantial gains in terms of competitiveness, quality, and sustainability.