Livros e capítulo

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

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Filtros

2024 - 20252

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Tem arquivos: SimAssunto: search.filters.subject.Indústria 4.0

Resultados da Pesquisa

Agora exibindo 1 - 2 de 2
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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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    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.