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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33 resultados
Resultados da Pesquisa
Item Aplicação da Lógica Fuzzy na Emissão de Notas Fiscais(Instituto de Tecnologia e Educação Galileo da Amazônia, 2025) SOARES, Vera Alana Nobre; BRITO JUNIOR, Jorge de Almeida; ALENCAR, David Barbosa de; NASCIMENTO, Manoel Henrique ReisCertificate issued by the Brazilian National Institute of Industrial Property (INPI) for the registration of the computer program entitled Application of Fuzzy Logic in Invoice Issuance. Developed in Python, the software aims to apply fuzzy logic principles to improve invoice analysis and issuance, providing greater precision, automation, and reliability to the process. The registration grants legal protection for 50 years under Law No. 9.609/1998, ensuring intellectual property and exploitation rights to ITEGAM and the authors.Item Diagnóstico Difuso da Rentabilidade Empresarial: Modelo Mamdani Aplicado às Margens Bruta e Operacional(Instituto de Tecnologia e Educação Galileo da Amazônia, 2025) NASCIMENTO, Alessandra Souza; NASCIMENTO, Manoel Henrique Reis; ALMEIDA, Luiz Fernando Correia de; SANTOS, Eliton Smith dosThis article proposes and validates a Mamdani fuzzy-inference model to diagnose corporate profitability for Coelmatic Indústria de Componentes Eletrônicos Ltda., using 2024 income-statement data. Four input variables—General and Administrative Expenses (DGA), Tax Debt Ratio (DT), Financial Debt Ratio (DF) and Financial Return (RF)—were fuzzified into Low, Medium and High through trapezoidal membership functions calibrated on historical quartiles. An 81-rule IF–THEN base, generated by the Wang-Mendel algorithm and refined by domain experts, feeds the Mamdani core; centroid defuzzification yields the crisp score CompLucroO on a 0–30 scale. The model achieved a mean absolute error below 8 % against accounting ROE and a Kendall’s W of 0.85 versus analysts’ rankings, supporting the hypothesis that fuzzy logic captures performance nuances overlooked by crisp metrics. Limitations include single-year scope, subjective parameter tuning and exclusion of macroeconomic factors. Future work should extend the time series, explore type-2 or neuro-fuzzy systems, and incorporate ESG indicators.Item Promoting Development and Environmental Awareness in Children with Disabilities: An Approach with Adapted Physical Education and Fuzzy Logic(Instituto de Tecnologia e Educação Galileo da Amazônia, 2024) CAMPOS, Paola Souto; LEITE, Jandecy CabralThis study aimed to develop a fuzzy logic model to evaluate the impact of interventions in Adapted Physical Education and Environmental Education on the development of children with disabilities, covering physical, cognitive, and environmental awareness aspects. Scenario simulations mimicking real conditions and incorporating variables such as motor coordination and understanding of environmental concepts were implemented. The interventions were evaluated using fuzzy rules to measure the impacts on various development dimensions. Although the model was not applied practically with children, validation tests suggest its future applicability in practical studies. Results indicate that integrated and balanced interventions can effectively improve both physical and cognitive development. Fuzzy logic proved to be a robust tool for detailed progress evaluation, indicating that the developed model can significantly contribute to inclusive pedagogical practices and guide educational policies for children with disabilities while reinforcing sustainability in environmental education.Item Implementação de práticas sustentáveis: avaliação fuzzy do desempenho e conscientização ambiental em crianças com deficiência(Instituto de Tecnologia e Educação Galileo da Amazônia, 2024) BEZERRA, Igor Felipe Oliveira; CAMPOS, Paola SoutoThis study aimed to develop a fuzzy logic-based model to assess the impact of interventions in Adapted Physical Education and Environmental Education on the physical, cognitive, and environmental awareness development of children with disabilities. The need for inclusive educational strategies and accurate tools to capture individual progress underpins this work, which seeks to go beyond traditional assessment approaches. Using scenario simulations that replicate authentic conditions, the study incorporated variables such as motor coordination, strength, endurance, as well as attention and understanding of environmental concepts. Interventions were analyzed using fuzzy rules to assess the expected impacts in physical, cognitive, and environmental awareness dimensions. Although the model was not implemented in a real setting with children, its validation suggests future applicability in practical studies. The results indicate that well-integrated interventions, especially those that balance physical and cognitive development, can lead to substantial improvements. Fuzzy logic proved to be a valuable tool, allowing for detailed and gradual progress assessment. The proposed model is a significant addition to inclusive pedagogical practices and can guide educational policies to better meet the needs of children with disabilities, emphasizing the importance of sustainable environmental education.Item Desenvolvimento de um Dispositivo Inteligente de Monitoramento de Energia Elétrica Integrado à Plataforma SGE com Aplicação da Lógica Fuzzy para Tomada de Decisão na Gestão Energética da Indústria 4.0(Instituto de Tecnologia e Educação Galileo da Amazônia, 2025) SANTOS JUNIOR, Hélio Andrade dos; ALENCAR, David Barbosa de; SANTOS, Eliton Smith dos; CAMPOS, Paola Souto; MORAES, Nadime Mustafa; SANCHES, Antônio Estanislau; LEITE, Jandecy CabralEfficient management of electrical energy in industrial environments is a crucial challenge, exacerbated by the continuous increase in consumption and frequent inefficiencies in resource utilization. In this context, Industry 4.0 and Smart Grids emerge as promising approaches, integrating advanced digital technologies to optimize energy production, distribution, and consumption. This study developed and validated a portable electrical energy monitoring device integrated into the SGE platform, applying fuzzy logic to support real-time decision-making. The device demonstrated the ability to conduct detailed analyses of energy consumption and efficiency, enhancing the accuracy in detecting losses and critical inefficiency points.Item Aplicação de Controle Fuzzy em Microgrids Solares como Auxílio na Mitigação de Interrupções em Comunidades Isoladas no Amazonas à Portaria Nº 140/2022(Instituto de Tecnologia e Educação Galileo da Amazônia, 2025) SILVA NETO, Oswaldo Wanderley da; ALENCAR, David Barbosa de; SANTOS, Eliton Smith dos; BRITO JÚNIOR, Jorge de Almeida; SANCHES, Antonio Estanislau; LEITE, Jandecy CabralIsolated communities in the Amazon face significant challenges in accessing reliable energy due to logistical difficulties and lack of infrastructure. Photovoltaic microgrids emerge as a viable alternative but suffer from instability and frequent interruptions caused by environmental variability. This study investigates the implementation of fuzzy control in these systems to mitigate supply failures and improve operational efficiency, in compliance with INMETRO's Portaria No. 140/2022. The results show that fuzzy control is a promising solution to enhance the reliability and sustainability of energy in isolated communities.Item Aplicação da lógica Fuzzy na emissão de notas fiscais em processos administrativos na Indústria Lean Office 4.0(Instituto de Tecnologia e Educação Galileo da Amazônia, 2025) SOARES, Vera Alana Nobre; ALENCAR, David Barbosa de; SANTOS, Eliton Smith dos; CAMPOS, Paola Souto; MORAES, Nadime Mustafa; LEITE, Jandecy CabralIndustry 4.0 has brought the need to integrate advanced technologies to improve the efficiency and agility of administrative processes. This study proposes the application of fuzzy logic to optimize the issuance of invoices, a critical process that faces challenges such as manual errors, delays, and high costs. A fuzzy model was developed that identifies key variables, applies inference rules, and tests the solution in a real environment with operational data. The results indicate a significant reduction in errors and processing times, in addition to gains in tax compliance and customer satisfaction.Item Application of Ergonomic Work Analysis in Automotive Industry Processes Using Computational Intelligence for Decision Making(Instituto de Tecnologia e Educação Galileo da Amazônia, 2022) PINTO, Leandro Soares; LEITE, Jandecy Cabral.; LEITE, Jandecy CabralErgonomics has proven to be increasingly important for industrial processes worldwide. The evolution of machinery and equipment has caused several occupational health disorders at work. Therefore, it is extremely important to conduct a comprehensive reading of workstations and use ergonomic analysis tools. The objective of this article is to apply the technological resources of fuzzy logic to the results found in the Ergonomic Work Analysis (AET) in seven workstations in the automotive industry of the Manaus Industrial Pole (PIM). The applied methodology is based on the use of the Suzanne Rodgers ergonomic tool and mathematical models characterized by Fuzzy Inference for decision-making on various disorders that occur with workers' health. The results found in the "Suzanne Rodgers" ergonomic tool applied to the movement of upper and lower limbs, together with the application of Fuzzy Logic, showed that the linguistic variables by colors and the legend that classifies ergonomic risks are useful for comparison and discussion of the importance of ergonomic processes for the benefit of the worker in the automotive industry.Item Fuzzy Modeling to Define Corrosivity Potential in Oil Pipelines(Instituto de Tecnologia e Educação Galileo da Amazônia, 2023) SANTOS, Ivair Rafael Costa do NASCIMENTO, Manoel Henrique Reis ALENCAR, David Barbosa de AZEVEDO, Manoel S. Santos SANCHES, Antônio Estanislau; LEITE, Jandecy CabralIn this work, a Fuzzy logic model was developed using the Fuzzy Logic Toolbox™ of the MATLAB® software to monitor the corrosivity potential in oil pipelines, where corrosion mechanisms are predominantly microbiological. Using operational parameters, the model presents itself as an alternative to conventional monitoring methods, allowing the estimation of corrosion rates and, therefore, the corrosivity potential. The model was applied to an oil pipeline, and its results were compared with conventional monitoring methods. The analysis concluded that the model can be effectively used as a monitoring method for pipelines with predominant microbiological corrosion, supporting the integrity management of oil pipelines.Item Logistics Management for Supplier Evaluation in an Industry Using Artificial Intelligence (Fuzzy Logic) for Decision Making(Instituto de Tecnologia e Educação Galileo da Amazônia, 2022) NEVES, Ananda Desirée Rondon Fonseca Jana das LEITE, Jandecy Cabral FONSECA JÚNIOR, Milton; LEITE, Jandecy CabralQuality management is essential for the production of goods and services in a highly competitive market. This study analyzes factors influencing the performance and evaluation of an international supplier in the watch industry for the years 2019 and 2020. The objective is to collect indicators of rejected parts in the receiving inspection and assembly process, as well as deadlines for replacing defective parts, using fuzzy logic to support decision-making regarding supplier approval or disqualification. The quantitative approach involved data collection through spreadsheets extracted from the SAP system. Finally, improvement actions were suggested for the company based on the fuzzy method, aiming to minimize losses and optimize the supplier evaluation process.