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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40 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 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 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.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.