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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46 resultados
Resultados da Pesquisa
Item Proposta de uso dos conceitos do Lean para a melhoria de serviços educacionais em escolas públicas do Estado do Amazonas(Instituto de Tecnologia e Educação Galileo da Amazônia, 2024) COSTA, Lucas Lima da; VIEIRA JUNIOR, MiltonGiven the challenges faced by public schools in the state of Amazonas in offering quality educational services, it is essential to adopt innovative approaches to diagnose problems, propose solutions and promote improvements. The lean concept, originally developed in the industrial sector with a focus on eliminating waste and optimizing processes, is a suitable methodology for improving educational services. This study proposes the application of lean principles and tools with the aim of increasing the quality of the services provided, reducing costs and increasing the satisfaction of those primarily involved in the educational process, analyzing their effectiveness in the context of public schools in Amazonas. Semi-structured interviews were conducted with employees of the institutions, with the aim of identifying waste that impacts on the services provided. Based on the analysis, a framework was developed with practical recommendations for implementing lean in schools, offering an accessible solution that aims to promote process optimization and continuous improvement in the educational environment.Item 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 LeiteThis 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.Item Industrial Engineering and Operations Management(Instituto de Tecnologia e Educação Galileo da Amazônia, 2024) JUNIOR, Milton Vieira; LEITE, Jandecy CabralThe book published by Springer presents an in-depth approach to industrial engineering and operations management. It brings together several research studies and case studies that explore innovative methodologies, emerging trends and efficient practices in modern industrial environments.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 Sinergia entre Modelagem 3D e Redes Neurais Artificiais na Otimização da Manufatura Aditiva no Contexto da Indústria 4.0(Instituto de Tecnologia e Educação Galileo da Amazônia, 2025) DIAS, Jonathan Oliveira; ALENCAR, David Barbosa deAdditive manufacturing (AM), widely known as 3D printing, emerges as one of the key technologies of Industry 4.0, enabling the production of parts with high geometric complexity and customization. This study investigates how the integration between 3D modeling and Artificial Neural Networks (ANNs) enhances the efficiency and quality of AM processes. 3D modeling supports detailed simulations of material behavior and manufacturing processes, while ANNs provide predictive analysis and learning from large data volumes, allowing automatic and dynamic adjustments to parameters such as speed, temperature, and fill patterns. The results show significant improvements in reliability, waste reduction, and energy consumption, aligning production with sustainability demands.Item Business Intelligence as an Integration Tool for Fault Detection of the Board Assembly Process(Instituto de Tecnologia e Educação Galileo da Amazônia, 2024) PAIXÃO, Elisete da Silva; LEITE, Jandecy CabralThe plate assembly process in the company in question has a stipulated goal of 2000 plates per day, and 10% of this production has failures, compromising management-defined objectives. This study proposes the implementation of an intelligent system for identifying and correcting failures in the board assembly process using Business Intelligence (BI) tools to advance Industry 4.0 practices. The methodology included Process Mapping and Requirement Analysis for the Integrated System Implementation. The integrated system enabled faster and more effective communication with other production systems, providing assertive information for data security and usability. The application of BI represented a significant step towards automation and continuous improvement in the industrial environment.Item Business Intelligence as an Integration Tool for Fault Detection of the Board Assembly Process(Instituto de Tecnologia e Educação Galileo da Amazônia, 2024) CAMPOS, Paola Souto; LEITE, Jandecy CabralThe plate assembly process in the analyzed company has a stipulated goal of 2000 plates per day, and 10% of this production has failures, compromising the management's defined goals. Given this issue, the present study aims to implement an intelligent system for identifying and correcting failures in the board assembly process, based on Business Intelligence (BI), aligned with Industry 4.0 practices. The methodology included Process Mapping and Requirements Analysis for the Implementation of the Integrated System. The system enabled faster and more effective communication with other production process systems, ensuring accurate information for performance optimization and data security. The implementation of this intelligent failure detection system represented a significant step towards Industry 4.0 evolution.Item DESENVOLVIMENTO DE SISTEMA DE CONTROLE DE DRONES PARA ENTREGA DE PRODUTOS COM MICROCONTROLADORES(Instituto de Tecnologia e Educação Galileo da Amazônia, 2024) ALENCAR, David Barbosa de; LEITE, Jandecy CabralThis chapter discusses the development of a control system for drones aimed at product delivery, using microcontrollers as the technological base. The goal is to improve logistics processes, reducing delivery time and optimizing operations in hard-to-reach areas. The proposed solution is based on programming microcontrollers for flight control and automated navigation. The results demonstrated the system's feasibility, highlighting the precision and efficiency of drones in small-scale distribution tasks.Item DESENVOLVIMENTO DE UM APLICATIVO MÓVEL DE RECICLAGEM PARA CIDADE DE MANAUS UTILIZANDO A LINGUAGEM KOTLIN(Instituto de Tecnologia e Educação Galileo da Amazônia, 2024) ALENCAR, David Barbosa de; LEITE, Jandecy CabralThis chapter presents the development of a mobile application to encourage recycling in the city of Manaus, using the Kotlin programming language. The objective was to create a technological solution that facilitates selective collection and promotes environmental awareness. The methodology included analyzing user needs, designing the interface, and implementing the application. The results indicated that the tool can significantly contribute to reverse logistics and proper waste disposal.Item Transformações Digitais e Indústria 4.0 no Polo Industrial de Manaus: Desafios e Inovações(Instituto de Tecnologia e Educação Galileo da Amazônia, 2025) GUIMARÃES, Gil Eduardo; MARINELLI FILHO, Nelson; LEITE, Jandecy Cabral; NASCIMENTO, Manoel Henrique ReisIndustry 4.0 introduces a significant transformation in the production sector, integrating technologies such as IoT, artificial intelligence, and big data to create intelligent and flexible operations. This study investigates the challenges and opportunities of implementing these technologies in the Manaus Industrial Hub (PIM), considering factors such as infrastructure, organizational competencies, and cultural resistance. The research proposes a strategic roadmap divided into three phases for the adoption of these technologies, addressing training, automation, and artificial intelligence implementation. The study concludes that transitioning to Industry 4.0 requires integrated strategies that consider technical and cultural aspects, contributing to global competitiveness and the region's sustainable development.