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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11 resultados
Resultados da Pesquisa
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 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 System for Analysis, Simulation and Implementation of Improvements in the Air Conditioning Manufacturing Process(Instituto de Tecnologia e Educação Galileo da Amazônia, 2022) CASTRO, Diego Alexandre de Lima LEITE, Jandecy Cabral; LEITE, Jandecy CabralThis study presents proposals for improvements in an air conditioner assembly line at a factory in the Manaus Industrial Hub. The research details the production process and evaluates factors hindering production, aiming to increase capacity, quality, efficiency, and waste reduction. Company documentary records and simulation tools (Plant Simulation) were used to identify bottlenecks and propose solutions. The new implemented layout provided a sustainable competitive advantage, improved employee training, and access to new automation technologies.Item Implementation of SMED Methodology to Reduce the Setup Time in a SMT Production Line(Instituto de Tecnologia e Educação Galileo da Amazônia, 2023) DANTAS, Jorginaldo Dibo LIMA, Alexandra Amaro de; LEITE, Jandecy CabralThe overall objective is to implement the Single Minute Exchange of Die (SMED) methodology to reduce the setup time (model change) in an electronics factory in Brazil. The research was carried out at a company in the electronics segment, located in the Industrial Pole of Manaus (PIM). Using a cause-and-effect diagram, it was verified that machines, labor, method, and material are the main causes for the high setup time. The initial SMED action plan defined eleven actions to reduce the line setup time. The implementation of the SMED method resulted in a 64% reduction in setup time, bringing significant productivity and efficiency improvements to the analyzed SMT line.Item Optimization of the Manual Insertion Process of Electric Motor Winders Using Lean Manufacturing Techniques(Instituto de Tecnologia e Educação Galileo da Amazônia, 2023) SOUZA, Renê Brito de LEITE, Jandecy Cabral; LEITE, Jandecy CabralDuring the manual insertion process analysis in electric motor production, process losses were identified. Using Lean Manufacturing tools and data collection, gaps in line balancing were mapped, resulting in low efficiency and desaturation in the insertion process. This study proposes the application of computer simulation and industrial layout restructuring based on NR-12 safety standards, in addition to implementing improvements such as the use of the spaghetti diagram and Kaizen techniques. The results indicate an average reduction of 30% in handling time, ergonomic improvements, better organization of the production space, and a reduction in intermediate inventories, consolidating an efficient and replicable model in other industrial units.Item Uso de Ferramentas de Lean Manufacturing para Identificar os Fatores Geradores de Impactos Ambientais Associados a Desperdícios de Produtividade na Fabricação de Uniformes - Um Estudo de Caso em uma Indústria de Confecção de Uniformes no Polo Industrial de Manaus(Instituto de Tecnologia e Educação Galileo da Amazônia, 2023) MELO, Cidarta Gautama de Souza; LIMA, Alexandra Amaro de; LEITE, Jandecy CabralThis article presents a study that demonstrates the applicability of Lean Manufacturing tools in identifying environmental impact factors in a clothing industry located in the municipality of Manaus, Amazonas. The focus of the study was on the company's production cells, specifically Cell 1, in the manufacturing of pants and PPEs. The results of the first part of the study revealed that a detailed analysis of the production flow through Value Stream Mapping (VSM) allowed for the identification of non-value-added processes that contributed to waste and environmental impacts, such as improper use of plotting papers, fabric waste in the cutting sector, and electricity usage in the sewing sector. The second part of the study highlighted the challenges encountered in the company's production process, including unplanned downtime, unbalanced operations, and interruptions for the insertion of different products on the same production line. The application of Lean tools such as Takt Time, TRF, Continuous Flow, Heijunka, and Standardized Work was identified as crucial in improving operational efficiency and reducing waste, thereby contributing to the minimization of environmental impacts. The overall results of the study showed that the application of Lean Manufacturing tools allowed for the identification of processes associated with invisible environmental impact factors, resulting in a significant reduction in waste indicators, especially in delivery, intermediate stocks, and rework rates. Additionally, there was a noticeable decrease in energy usage and textile waste disposal, generating a positive environmental impact. The study also presented a framework of conditional indicators and goals, revealing significant progress towards more efficient and sustainable production, with an overall reduction of 45% in waste indicators and established goals of at least 20% reduction in each indicator related to environmental impacts. This study demonstrates the effectiveness of Lean Manufacturing approaches in promoting more sustainable practices in the clothing industry.Item Otimização do Processo de Inserção Manual de Bobinadeira de Motores Elétricos Utilizando Técnicas do Lean Manufacturing(Instituto de Tecnologia e Educação Galileo da Amazônia, 2023-10-12) SOUZA, Rene Brito de; LEITE, Jandecy CabralThis study addresses the optimization of the manual coil insertion process in electric motors using Lean Manufacturing techniques. The main objective is to improve the efficiency and productivity of the coil winding sector in an electric motor factory. The research employed methodologies such as World Class Manufacturing (WCM), Spaghetti Diagram, Mura, Muri, Muda, and Time Study. Lean tools were implemented to reorganize workflow and redistribute tasks, resulting in a more balanced workload and a significant reduction in productivity losses. This study demonstrates the feasibility of applying Lean techniques to industrial processes and the importance of continuous adaptation to achieve operational excellence.Item Gestão de Design e Sistema Lean Manufacturing como Ferramentas no Desenvolvimento de Modelo de Produção Mitigadora de Impactos Ambientais na Indústria de Confecções em Manaus(Instituto de Tecnologia e Educação Galileo da Amazônia, 2023-11-11) MELO, Cidarta Gautama de Souza; LIMA, Alexandra Amaro de; http://lattes.cnpq.br/6915958689972413This work proposes a production model that mitigates environmental impacts in the garment industry in Manaus, integrating Lean Manufacturing (LM) and Design Management methodologies. The study identifies waste factors that can be converted into environmental impacts and proposes mitigating measures. The model, unprecedented in its specific application to the garment industry, seeks to reduce environmental impacts without compromising production efficiency, addressing both quantitative and qualitative aspects of manufacturing processes.Item Modelo Fuzzy para Avaliar o Nível do Lean Manufacturing em uma Empresa de Fabricação de Ar-Condicionado Comercial(Instituto de Tecnologia e Educação Galileo da Amazônia, 2023-05-01) SOARES, Raquel Borges; NASCIMENTO, Manoel Henrique ReisThis dissertation presents the implementation of a Fuzzy model to evaluate the maturity level of Lean Manufacturing in an air conditioning manufacturing company in the Manaus Industrial Hub. The research proposes an innovative methodology that combines Lean philosophy with Fuzzy logic, allowing for a more precise and flexible assessment of production processes. The study was developed in five main stages, including a literature review, the creation of the Fuzzy model using Matlab, and a case study detailing the model's application. The results indicate that the methodology is viable and can significantly contribute to improving the company's efficiency and competitiveness.Item Modelo Fuzzy para avaliar o nível do Lean Manufacturing em uma Empresa de Fabricação de Ar-Condicionado Comercial(Instituto de Tecnologia e Educação Galileo da Amazônia, 2023-10-31) SOARES, Raquel Borges; NASCIMENTO, Manoel Henrique Reis; http://lattes.cnpq.br/0850846128967798Proper management of shop floor resources has fundamental importance for the financial health and survival of companies. Organizations that work with high levels of waste lose competitiveness due to directing their efforts and investments constantly in corrections instead of new technologies. The waste must be studied and eliminated or mitigated to guarantee the generation of profit, for this purpose the company chosen as the object of application of the research started using the tools of the Lean manufacturing methodology. This work aims to implement a model for assessing the level of Lean Manufacturing based on fuzzy inference in this company that is undergoing a lean transformation process and whose organizational culture was initially not established with the pillars of lean manufacturing. For the creation of the model, the entire production process was mapped, the processes were selected and defined as variables 4 of the tools already implemented by the company 5S, VSM (value stream map), TPM (total productive maintenance) and SMED (single minute exchange of die). The model adopted to determine the Lean level was based on computer simulation as a tool, based on fuzzy logic. The application of the developed model shows that the evaluation of Lean Maturity through the application of Lean Manufacturing tools in the Production Process to be used through the fuzzy methodology proved to be feasible to assist in the desired validations, allowing to understand the impact of each linguistic variable in the research result, pointing out how the Company “MCJV” can use the information obtained to improve the Lean transformation management process. A great advantage of the created model is the possibility of being adjusted to any type of organization, whose input and output variables can receive other linguistic values. As a future suggestion for research, we have the inclusion of new entries such as VOP (voice of process) or PSP (problem solving).