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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51 resultados
Resultados da Pesquisa
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 Gestão de Estoque como Vantagem Competitiva em uma Confeitaria na Cidade de Manaus-AM(Instituto de Tecnologia e Educação Galileo da Amazônia, 2021) ALENCAR, David Barbosa de; LEITE, Jandecy CabralEffective inventory management is crucial for a company’s financial sustainability. Unnecessary costs can lead to significant losses, making inventory one of the most critical areas. Utilizing tools such as the BCG Matrix and Production Planning and Control (PPC), inventory management can minimize costs while maximizing profits, ensuring a competitive advantage. This study proposes strategies for a more efficient inventory management system, preventing excess or shortage of raw materialsItem 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 Different Deterministic Optimization Methods for Economic Load Dispatch, Switching Off Less Efficient Generators(Instituto de Tecnologia e Educação Galileo da Amazônia, 2017) LEITE, Jandecy Cabral; CAMPOS, Paola SoutoThe Economic Load Dispatch (ELD) is one of the most important optimization and operational decision tasks in power systems. This study compares various deterministic mathematical optimization methods, including Lambda Iteration, Newton’s Method, and Quadratic Programming, to solve the ELD problem. The analysis considers both the traditional methodology and a proposed approach that includes turning off less efficient generators to reduce costs and improve system efficiency.Item Probabilidade e Estatística Aplicada a Software(Instituto de Tecnologia e Educação Galileo da Amazônia, 2022) LEITE, Jandecy Cabral; NASCIMENTO, Manoel Henrique ReisThis study proposes to analyze the use of didactic software by teachers and students as a pedagogical support tool in teaching and learning, aiming to alleviate the difficulties in learning descriptive statistics. The research was conducted at the Instituto Federal Ifam, in Manaus-AM, employing a quantitative method, questionnaires, direct observation, and the Minitab software. The results show that teachers in the mathematical sciences field often do not continuously use didactic software, which affects students' learning. The study highlights the importance of using computer labs and didactic tools to enhance statistics education.