Livros e capítulo

URI permanente para esta coleçãohttps://rigalileo.itegam.org.br/handle/123456789/6

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2022 - 20255

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Data inicial: 2020Assunto: search.filters.subject.Engenharia de Produção

Resultados da Pesquisa

Agora exibindo 1 - 5 de 5
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    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 Cabral
    The 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.
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    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 Cabral
    This 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.
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    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 Cabral
    This 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.
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    Probabilidade e Estatística Aplicada a Software
    (Instituto de Tecnologia e Educação Galileo da Amazônia, 2022) LEITE, Jandecy Cabral; NASCIMENTO, Manoel Henrique Reis
    This 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.
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    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 Reis
    Industry 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.