Artigos
URI permanente para esta coleçãohttps://rigalileo.itegam.org.br/handle/123456789/5
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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 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 Fuzzy Logic To Assess The Degree Of Aptitude Of Professionals In The Areas Of Management(Instituto de Tecnologia e Educação Galileo da Amazônia, 2024) LEITE, Lourdes Daniele Câmara; LEITE, Jandecy CabralThe study proposes the creation of a Fuzzy inference model to assess the performance of professionals in the management area, based on quantitative criteria such as ability, knowledge, and attitude. The aim is to assist the Human Resources sector in the recruitment and selection process, identifying the most suitable profile for management positions. The model was developed in three phases: identification of aptitude indicators, Fuzzy system modeling, and experimentation of the proposed model. The results showed that the Fuzzy system is effective in analyzing and classifying candidate performance, optimizing decision-making in recruitment.Item Fuzzy System for Fault Detection in Electric Motors for Aluminum Casting(Instituto de Tecnologia e Educação Galileo da Amazônia, 2024) SILVA, Lenildo Marcos da Mota; BRITO JUNIOR, Jorge de Almeida; LEITE, Jandecy Cabral; ALENCAR, David Barbosa de; NASCIMENTO, Manoel Henrique Reis; QUEIROZ JÚNIOR, Fernando Cardoso de; LEITE, Jandecy CabralThis study presents the development of a fuzzy logic-based system for predictive fault detection in electric motors used in aluminum casting processes. The addressed problem concerns the need to optimize predictive maintenance in a competitive industrial environment, minimizing unexpected downtimes and costs associated with corrective maintenance. The main objective was to create a fuzzy algorithm for real-time monitoring of critical variables such as temperature, pressure, and electric current. The methodology involved simulations of operational scenarios validated through experimental tests in a controlled environment. Results indicate that the proposed fuzzy system accurately identifies anomalies and issues preventive alerts, contributing to extending motor lifespan and improving operational efficiency. It is concluded that the developed solution can be integrated into industrial supervisory systems, enhancing reliability and productivity.Item PROMOVENDO DESENVOLVIMENTO E CONSCIENTIZAÇÃO AMBIENTAL EM CRIANÇAS COM DEFICIÊNCIA: UMA ABORDAGEM COM EDUCAÇÃO FÍSICA ADAPTADA E LÓGICA FUZZY(Instituto de Tecnologia e Educação Galileo da Amazônia, 2024) BEZERRA, Igor Felipe Oliveira; CAMPOS, Paola Souto; BRITO JUNIOR, Jorge de Almeida; LEITE, Jandecy CabralThis study aimed to develop a fuzzy logic model to assess 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. The research sought to transcend conventional evaluation approaches by implementing scenario simulations that mimic real conditions and incorporating variables such as motor coordination and understanding of environmental concepts. The interventions were evaluated using fuzzy rules to measure the impacts on various dimensions of development. Although the model was not applied in a practical context with children, validation tests suggest its future applicability in practical studies. The results indicate that integrated and balanced interventions can effectively improve both physical and cognitive development. The use of fuzzy logic proved to be a robust tool for detailed progress assessment, indicating that the developed model can significantly contribute to inclusive pedagogical practices and guide educational policies aimed at the needs of children with disabilities, reinforcing the importance of sustainability in environmental education.Item Análise decisória para implementação de estratégias integradas para a redução de setup em processos industriais utilizando lógica fuzzy(Instituto de Tecnologia e Educação Galileo da Amazônia, 2024) SOUZA, Vanessa Silva; ALENCAR, David Barbosa de; SILVA, Ítalo Rodrigo Soares; LEITE, Jandecy CabralThis article explores the application of Fuzzy Logic as a decision support tool for implementing integrated strategies aimed at reducing setup times in industrial processes. The study was conducted in a company in the Manaus Industrial Park, in the electronics sector, and developed a computational model based on Fuzzy Logic to analyze variables affecting setup time and production efficiency. The results showed that the combination of Tools and Equipment with Advanced Planning has a significant impact of 86% on setup time, highlighting the importance of effective management of these variables to reduce bottlenecks and time waste. Palavras-chave: Lógica Fuzzy, Estratégias de Redução do Tempo de Setup, Eficiência Operacional, Otimização de Processos, ProdutividadeItem Análise decisória para implementação de estratégias integradas para a redução de setup em processos industriais utilizando lógica fuzzy(Instituto de Tecnologia e Educação Galileo da Amazônia, 2024-06-09) SOUZA, Vanessa Silva; ALENCAR, David Barbosa de; SILVA, Ítalo Rodrigo SoaresThis article explores the application of Fuzzy Logic as a decision support tool for implementing integrated strategies aimed at reducing setup times in industrial processes. The study seeks to optimize operational efficiency and reduce variability in production processes, ultimately enhancing productivity. A computational model based on Fuzzy Logic was developed to analyze key variables impacting setup times and associated waste. The research was conducted in a company in the Manaus Industrial Park, specializing in electronics. The results showed that the combination of Tools and Equipment with Advanced Planning variables significantly impacts setup time by 86%, highlighting the importance of managing these variables to improve productivity.