Artigos

URI permanente para esta coleçãohttps://rigalileo.itegam.org.br/handle/123456789/5

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Agora exibindo 1 - 10 de 36
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    Análise dos Desafios na Transição para Indústria 4.0: Um Estudo Sobre a Integração de Sistemas de Custeio em Ambientes Automatizados
    (Instituto de Tecnologia e Educação Galileo da Amazônia, 2025) SILVA, Maeli Oliveira da; FILHO, Nelson Marinelli; GUIMARÃES, Gil Eduardo; LEITE, Jandecy Cabral; FERREIRA, Matheus Rissardi; Jandecy Cabral Leite
    This paper analyzes the challenges faced during the transition from traditional costing systems to absorption costing systems in the context of Industry 4.0. Through the analysis of heat maps applied to an industrial costing spreadsheet for electronic components, the study identifies and categorizes inconsistencies that reflect broader structural challenges of industrial digital transformation. The results reveal seven critical categories of inconsistencies: interoperability issues, complexity in the allocation of indirect costs, implementation and maintenance costs, workforce training, real-time data management, compliance and security, and adaptation to the dynamics of Industry 4.0. It was concluded that such inconsistencies represent significant barriers to a successful transition, especially in industries with a high degree of automation.
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    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 Cabral
    A 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.
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    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 Cabral
    Industry 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.
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    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 Cabral
    This 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.
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    Indústria 4.0: Uma Proposta para Implementação em uma Empresa Metal-Mecânica no Polo Industrial de Manaus
    (Instituto de Tecnologia e Educação Galileo da Amazônia, 2024) PEREIRA, Danilo Serrão; GUIMARÃES, Gil Eduardo; MARINELLI FILHO, Nelson; CORREA, Geraldo Nunes; TREVISOL, Janyel; LEITE, Jandecy Cabral
    Industry 4.0 introduces a comprehensive transformation in the production sector through the integration of advanced technologies, connecting the physical and digital environments. This study proposes a strategic plan for the implementation of Industry 4.0 in a metal-mechanical company in the Manaus Industrial Hub (PIM), using a structured roadmap. The research identified challenges and opportunities, highlighting barriers such as deficient infrastructure and lack of workforce training. The application of the Impuls questionnaire revealed that the company has an initial level of readiness for the technological transition. The proposed roadmap is divided into three phases: preparation and training, integration and automation, and continuous optimization with artificial intelligence. The study concludes that production modernization in the PIM can increase company competitiveness, reduce waste, and improve industrial sustainability.
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    Desenvolvimento de um protótipo de gateway para coleta e transmissão de dados em sistemas de manuseio de materiais - Gate Move 4.0
    (Instituto de Tecnologia e Educação Galileo da Amazônia, 2024) AMARAL, Carlos Henrique; LEITE, Jandecy Cabral; RIBEIRO, Paulo Francisco da Silva; SILVA, Ítalo Rodrigo Soares; PARENTE, Ricardo Silva; DIRANE, Eduardo Nunes; MENDONÇA, Pedro Henrique Barros; LEITE, Jandecy Cabral
    Currently, material handling systems are fundamental in industries such as manufacturing, logistics, and distribution, performing critical functions in the movement, storage, control, and protection of materials throughout production and distribution processes. With the advancement of digital technologies and the emergence of Industry 4.0, there is a growing need for more intelligent and interconnected systems capable of collecting and transmitting real-time data, thus improving operational efficiency and decision-making. The primary objective of this study was to develop a gateway prototype called Gate Move 4.0, designed to efficiently and reliably collect and transmit data in material handling systems. The methodology adopted for the development of Gate Move 4.0 was organized into several stages, each meticulously planned to ensure that the final prototype met the established objectives. The study results showed that Gate Move 4.0 proved to be a functional prototype, meeting the proposed objectives and demonstrating satisfactory performance under various operating conditions.
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    Modelo para estimar o risco de ruptura pela falta de abastecimento de insumos, com base em simulação digital: caso de uma indústria de eletroeletrônicos
    (Instituto de Tecnologia e Educação Galileo da Amazônia, 2024) BRANDÃO, Edio Paulo Seguini; RODRIGUEZ, Carlos Manuel Taboada; LEITE, Jandecy Cabral
    The supply flow for the manufacture of technology products has been impacted by restrictions in its supply dynamics, due to complex issues that involves uncertainties in the supply of inputs. This context got worst with the global supply crisis for the electronics goods industry, especially for the automotive industries, in 2020. By this uncertain scenario, the research is based on the case study to develop a model, based on digital simulation, which estimates the risk of disruption in a production process of electronics industry, due to lack of supply of components. This study development examined how traditional production planning and control systems are integrating with new information technologies enabling to obtain an accurate data for predicting disruption risks. The model is based on real data and requirements generated by Production Planning and Manufacturing Resource Planning (MRP) calculation to determine the disruption point, integrated within a Low Code Development Platform (LCDP) digital platform. The outcomes obtained in the case study highlighted the effectiveness of the proposal as the calculation of the disruption date and the production volume impacted by the disruption.
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    Transformação Digital no Polo Industrial de Manaus: Aumento da Eficiência na Produção de Baterias de Lítio através da Indústria 4.0
    (Instituto de Tecnologia e Educação Galileo da Amazônia, 2024) DAMASCENO, Alexandre Holanda; LEITE, Jandecy Cabral; BRITO JUNIOR, Jorge de Almeida; QUEIROZ JÚNIOR, Fernando Cardoso de; LEITE, Jandecy Cabral
    The lithium battery industry faces increasing challenges in terms of demand and expectations for sustainability and efficiency. In the context of the Manaus Industrial Hub, this study explores the application of Industry 4.0 technologies to overcome these challenges and increase production efficiency. The research implemented integrated cyber-physical systems, advanced automation, and real-time data analysis in a lithium battery assembly line, replacing manual processes with automated solutions. The results demonstrated significant improvements in production accuracy and speed, with a 40% reduction in cycle time and a 75% decrease in product rejection rates, highlighting the potential of digitalization to optimize industrial operations and meet the demands of a competitive global market. This study contributes to the literature on digital transformation in manufacturing, offering practical insights into the implementation of emerging technologies in complex industrial environments.
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    Análise da demanda de vendas e da capacidade de produção para determinar a necessidade de mão de obra direta
    (Instituto de Tecnologia e Educação Galileo da Amazônia, 2024) GEMAQUE, Fabrício Mourão; LEITE, Jandeey Cabral; SILVA, Carlos Américo de Souza; BRITO JUNIOR, Jorge de Almeida; LEITE, Jandecy Cabral
    This study consists of meeting the sales demand using the existing production capacity in an electronic goods industry and thus determining the amount of direct labor (MOD) necessary to meet the needs of customers. Obtaining the correct number of operators on a production line is extremely important for productivity and cost reduction. Using concepts such as takt time, cycle time, and line efficiency, it is possible to quickly and assertively determine the number of operators needed to meet customer demand, ensuring productive efficiency and the correct application of labor resources. Based on the company's sales projection, it is possible to determine month by month the number of operators, the number of shifts, and the appropriate volume to be produced to meet the requested demand.
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    Industry 4.0 techniques applied to the improvement of the cutting process of Lithium-Ion battery terminals
    (Instituto de Tecnologia e Educação Galileo da Amazônia, 2024) SILVA, Linconl Fábio da; OLIVEIRA, Reinaldo Viana de; ALENCAR, David Barbosa de; NASCIMENTO, Manoel Henrique Reis; SANTOS, Alyson de Jesus dos; LEITE, Jandecy Cabral
    Industry 4.0 has revolutionized manufacturing processes with the integration of advanced technologies. This study investigates the application of Industry 4.0 techniques to optimize the cutting process of lithium-ion battery terminals. The use of smart sensors, machine learning, and automation resulted in greater precision, waste reduction, and production time optimization. The results demonstrate that the digitization and automation of the cutting process bring significant benefits to the battery industry.