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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6 resultados
Resultados da Pesquisa
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 Integração logística entre a Zona Franca de Manaus (ZFM) e Venezuela: avaliação do modal por intermédio da lógica Fuzzy para escoamento da produção do setor eletroeletrônico(Instituto de Tecnologia e Educação Galileo da Amazônia, 2024) MIRANDA, Allan Cerdeira; NASCIMENTO, Manoel Henrique Reis; SANTOS, Eliton Smith dos; LEITE, Jandecy CabralThis study investigates the logistics integration between the Manaus Free Trade Zone (ZFM) and Venezuela, focusing on the production flow in the electronics sector. The main objective was to develop a Fuzzy inference model to evaluate the most viable modal for this integration. The methodology was divided into three phases: identification of modal evaluation indicators, modeling of the Fuzzy inference system, and experimentation with the proposed model using MatlabR2013 software. The results indicated that the model was effective in analyzing the performance of the modals, allowing the identification of the most relevant variables for choosing the best logistics modal. The research highlights the importance of improving logistics infrastructure to enhance the competitiveness of ZFM in international trade.Item Application of Fuzzy Inference Systems for Preliminary Analysis of the Technical Requirements of Permission Holders for the Repair and Maintenance of Regulated Measuring Instruments(Instituto de Tecnologia e Educação Galileo da Amazônia, 2024) MOREIRA, Jaildo Jackson do Amaral; BRITO JUNIOR, Jorge de Almeida; NASCIMENTO, Manoel Henrique Reis; LEITE, Jandecy CabralAccurate measurement is essential in a variety of sectors, from industry to health and the environment. In Brazil, the National Institute of Metrology, Quality and Technology (INMETRO) is responsible for regulating and inspecting measuring instruments. To ensure compliance, holders of authorisations to repair and maintain these instruments must meet strict technical requirements. In this context, the application of fuzzy inference systems can be an effective approach to preliminarily analysing these technical requirements. The aim of this article is to apply fuzzy inference systems to the preliminary analysis of the technical requirements of holders of authorisations for the repair and maintenance of measuring instruments regulated by INMETRO. The results obtained showed that the fuzzy inference system was able to carry out a preliminary analysis of the technical requirements of authorisation holders with significant accuracy, correctly identifying compliance or non-compliance in more than 90% of the cases tested.Item Modelo de avaliação de saneamento básico usando Sistema de Inferência Fuzzy(Instituto de Tecnologia e Educação Galileo da Amazônia, 2024) NASCIMENTO, Aline Santos do; ALENCAR, David Barbosa de; NASCIMENTO, Manoel Henrique Reis; SANTOS, Lucélia Cunha da Rocha; MORAES, Nadime Mustafa; LEITE, Jandecy CabralThis study developed a fuzzy inference model to assess the quality of basic sanitation services. The model analyzed indicators such as water supply, sewage, and waste management, using fuzzy methodology to address uncertainties and generate more accurate diagnoses. The results demonstrated that fuzzy logic is effective in identifying critical points in sanitation, offering solutions to reduce costs and increase efficiency. The model is adaptable to different regional contexts, facilitating its application in other locations and supporting the fulfillment of SDG 6.Item Sistema de inferência fuzzy para análise dos requisitos técnicos dos taxímetros(Instituto de Tecnologia e Educação Galileo da Amazônia, 2024) LEITE, Yago Ruan Bindá; NASCIMENTO, Manoel Henrique Reis; ALMEIDA, Luiz Fernando Correia de; MENDONÇA, Kyara Travessa de; LEITE, Jandecy CabralThis article addresses the application of fuzzy inference systems in the analysis of the technical requirements of taximeters, according to Ordinance No. 124 of March 24, 2022, established by INMETRO. The objective is to enhance the accuracy and reliability of the inspections of these instruments, which are essential for public transportation. The methodology involves identifying the main compliance indicators and modeling a fuzzy inference system using Matlab R2013a software. The fuzzy model was developed to evaluate four main variables: the proper positioning of the taximeter in the vehicle (PATV), the functioning of operational devices (FDO), the state of conservation of the display (ECM), and the conditions of mandatory inscriptions (CIO). Through the definition of rules and simulations, it was possible to obtain precise results capable of handling data uncertainty. The results demonstrated that the fuzzy approach is effective in identifying conformities and non-conformities of taximeters, providing reliable support for the inspection activities of IPEM-AM. The implementation of this model significantly contributes to the safety and transparency of taximeters, promoting user confidence and system integrity.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.