Artigos
URI permanente para esta coleçãohttps://rigalileo.itegam.org.br/handle/123456789/5
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Item Barrido de frecuencia en coordenadas de fase(INSTITUTO DE TECNOLOGIA, 2012) PÉREZ ABRIL, Ignacio; CABRAL LEITE, Jandecy; MAGALHÃES, Edilson MarquesThe paper develops a phase-coordinates model for analyzing unbalanced electrical networks, enabling the specification of single-phase or three-phase harmonic injections of any sequence. The model is applied to a four-wire delta system, demonstrating its ability to represent structural asymmetries and identify resonances at different frequencies.Item Digital transformation in the Manaus Industrial Hub (PIM): development and implementation of an electronic Kanban system using Artificial Intelligence for production optimization and sequencing in a PIM tape company(Instituto de Tecnologia e Educação Galileo da Amazônia, 2024) ARAÚJO, Lívia Fernanda Lobão de; GUIMARÃES, Gil EduardoThis article presents the development and implementation of an electronic Kanban system with Artificial Intelligence (AI) in a company in the Manaus Industrial Estate (PIM). The research, based on Industry 4.0 principles, aimed to optimize production order sequencing and promote greater operational efficiency, process integration, and cost reduction. Using an applied and exploratory approach, quantitative and qualitative methods were used to identify bottlenecks and develop technological solutions aligned with the company’s needs. The results showed a 67% reduction in order entry time, a 22% increase in Overall Equipment Efficiency (OEE), and an 18% drop in non-conformities. This study highlights the transformative potential of digitalization and automation for PIM companies.Item Uso da Metodologia e Ferramentas Lean na Gestão da Produção para Melhoria da Eficiência do Processo Produtivo - Estudo de Caso em uma Empresa do PIM(Instituto de Tecnologia e Educação Galileo da Amazônia, 2025) ALMEIDA, Melry Silva de; VIEIRA JUNIOR, Milton; SILVA, Carlos Américo de Souza; FERREIRA, Anderson da Silva; LEITE, Jandecy CabralA competitividade global e a complexidade produtiva nas indústrias modernas destacam a necessidade de métodos para melhorar eficiência e produtividade. A modernização industrial enfrenta desafios como processos complexos, variabilidade da demanda e limitações de recursos, exigindo soluções rápidas e assertivas para evitar ineficiências e perda de competitividade. No Brasil, o Polo Industrial de Manaus (PIM) exemplifica como metodologias e ferramentas como Lean Manufacturing, gráfico de Yamazumi, Ishikawa, Balanceamento de Linha, 5 Porquês, 5W2H, Matriz Básica ajudam a superar custos logísticos e pressões regulatórias, otimizando recursos e demandas. Juntamente com o Planejamento da Produção, essas metodologias e ferramentas minimizam custos, maximizam produtividade, eliminam desperdícios e gargalos, aumentando a competitividade. Focando na fabricação de caixas acústicas, esta pesquisa qualitativa, exploratória, através de um estudo de caso com realização de pesquisa bibliográfica e documental, identificou práticas para otimizar processos e resolver problemas, gerando melhorias na taxa de produção com aumento de 21,9% na capacidade produtiva e da eficiência da mão de obra com uma redução de 10,7% no número de operadores na linha, gerando um impacto positivo nos resultados empresariais.Item Development of Intelligent Devices for Communication and Data Pre-Processing in the Process of Electronic Meter Testing(Instituto de Tecnologia e Educação Galileo da Amazônia, 2022) RAMOS JUNIOR, Juarez da Silva; LEITE, Jandecy Cabral; GOMES, Marivan Silva; PAULA, Railma Lima de; CARVALHO, Michael da Silva; SILVA, Ítalo Rodrigo Soares; SIQUEIRA JUNIOR, Paulo Oliveira; PARENTE, Ricardo Silva; MIRANDA, Luís Gabryel dos Santos; LEITE, Jandecy CabralThis study investigates the development of intelligent devices for communication and data pre-processing in electronic meter testing. The research addresses the lack of efficient communication between electronic devices and the need for information synchronization to support decision-making in Industry 4.0. The article presents the development of a Lean Manufacturing Intelligent System, integrating API and machine learning algorithms for demand forecasting and process optimization. The results include embedded firmware for data collection, forecasting algorithms, and an interactive dashboard for production monitoring. The proposed solution aims to reduce costs and improve product quality.Item Application of Deep Neural Network in Intelligent System with Production Dashboard(Instituto de Tecnologia e Educação Galileo da Amazônia, 2022) RAMOS JUNIOR, Juarez da Silva; LEITE, Jandecy Cabral; GOMES, Marivan Silva; PAULA, Railma Lima de; CARVALHO, Michael da Silva; SILVA, Ítalo Rodrigo Soares; SIQUEIRA JUNIOR, Paulo Oliveira; PARENTE, Ricardo Silva; MIRANDA, Luís Gabryel dos Santos; LEITE, Jandecy CabralLean Manufacturing is a strategic methodology aimed at reducing production waste, ensuring product quality, and optimizing delivery times. However, many electronic meter manufacturing companies lack the necessary technologies to effectively implement this methodology. This study proposes the development of an Intelligent Lean Manufacturing System based on the requirements of a Manufacturing Execution System (MES), utilizing technologies such as Artificial Intelligence, the Internet of Things, and Embedded Systems. The system enables real-time decision-making for production control and management, reducing costs and improving product quality.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 Sistema Ciber-Físico na Indústria 4.0 - Aplicado em Testes de Rigidez Dielétrica em Unidades Evaporadoras de Aparelhos de Ar-Condicionado(Instituto de Tecnologia e Educação Galileo da Amazônia, 2025) ALENCAR, Wanderson Grey Rodrigues de; ALENCAR, David Barbosa de; SANTOS, Eliton Smith dos; CAMPOS, Paola Souto; MORAES, Nadime Mustafa; SANCHES, Antônio Estanislau; LEITE, Jandecy CabralCyber-physical systems (CPS) play a central role in the digital transformation of Industry 4.0, especially in industrial sectors such as HVAC (heating, ventilation, and air conditioning). This study presents the application of CPS in dielectric strength testing of air conditioning evaporator units, essential for ensuring equipment safety and efficiency. The main objective was to develop an automated control system integrating CPS to monitor and optimize these tests, overcoming the limitations of traditional methods. The proposed system demonstrated significant improvements in accuracy, safety, efficiency, and traceability.Item Aplicação da Teoria dos Jogos no Gerenciamento do Contexto das Altas Temperaturas na Cidade de Manaus(Instituto de Tecnologia e Educação Galileo da Amazônia, 2025) SOUZA, Amós Ribeiro de; ALENCAR, David Barbosa de; SANTOS, Eliton Smith dos; CAMPOS, Paola Souto; MORAES, Nadime Mustafa; SOUZA, Silvia Cristina Matos de; LEITE, Jandecy CabralThe city of Manaus faces increasing challenges related to high temperatures, intensified by climate change and unplanned urbanization. Efficient management of this context is essential to mitigate negative impacts on the population and the environment. This study employs Game Theory as a strategic tool to model interactions among government, businesses, NGOs, and the population. Through simulations and Nash equilibrium analysis, feasible cooperative strategies were identified to minimize climate impacts and guide more sustainable public policies, promoting a balance between economic development and environmental preservation.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 Análise das propriedades mecânicas do concreto com adição de seixo e polietileno tereftalato (PET)(Instituto de Tecnologia e Educação Galileo da Amazônia, 2025) BEZERRA, Antonio Carlos Lapa; ALENCAR, David Barbosa de; CAMPOS, Paola Souto; MORAES, Nadime Mustafa; BEZERRA, Eliane Sigrid Lacerda dos Reis; BEZERRA, Carlos Gabriel dos Reis; LEITE, Jandecy CabralThe increasing accumulation of plastic waste, particularly PET, represents a significant environmental challenge due to its long degradation time and the negative impacts of improper disposal. This study explores the feasibility of partially replacing sand with ground PET in concrete, focusing on its effects on compressive strength and workability. Four concrete compositions were tested: one without PET and three with 10%, 30%, and 50% PET, adhering to ABCP standards. The results demonstrated that PET addition, in certain proportions, maintained the required strength while reducing environmental impacts, highlighting the sustainable potential of recycled PET in construction.