Dissertação PPG.EGPSA
URI permanente para esta coleçãohttps://rigalileo.itegam.org.br/handle/123456789/3
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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 Análise preliminar dos requisitos técnicos dos titulares de autorizações para reparo e manutenção de instrumentos de medição regulados: Aplicação de sistemas de inferência fuzzy(Instituto de Tecnologia e Educação Galileo da Amazônia, 2024-07-24) MOREIRA, Jaildo Jackson do Amaral; BRITO JUNIOR, Jorge de Almeida; http://lattes.cnpq.br/3423176906589920Accurate measurement is essential in sectors such as industry, healthcare, and the environment. In Brazil, the National Institute of Metrology, Quality and Technology (INMETRO) regulates and inspects measuring instruments, requiring authorization holders for repair and maintenance to meet stringent technical requirements. This study applied fuzzy inference systems for the preliminary analysis of these requirements, developing a model capable of efficiently and accurately identifying and evaluating compliance. The method involved surveying technical requirements, defining linguistic variables, developing and testing the fuzzy system, and analyzing results. The system was implemented and tested in a controlled environment with different datasets, demonstrating high accuracy in identifying compliance in over 90% of cases. Additionally, it provided valuable insights into authorization holders' strengths and weaknesses, highlighting areas that may need improvement for continued compliance. The application of fuzzy inference systems proved to be a promising approach to improving compliance assessment processes, ensuring the quality and accuracy of measurements in Brazil, and renewing the perception of analyses in ordinances already implemented by INMETRO. This approach can also significantly contribute to decision-making by regulatory agencies, such as IPEM/AM, providing an additional tool to ensure compliance and reliability of measuring instruments used nationwide.