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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20242

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Autor: search.filters.author.PAIXÃO, Elisete da SilvaAssunto: 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) PAIXÃO, Elisete da Silva; LEITE, Jandecy Cabral
    The 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.
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    Sistema integrado para detecção de falhas do processo de montagem de placas utilizando ferramenta de Business Intelligence para maturidade da Indústria 4.0.
    (Instituto de Tecnologia e Educação Galileo da Amazônia, 2024) PAIXÃO, Elisete da Silva; CAMPOS, Paola Souto
    The plate assembly process in a company has a target of producing 2000 plates per day; however, 10% of this production presents failures, compromising the management-defined goals. This study aims to implement an intelligent system for identifying and correcting failures in the board assembly process, based on Business Intelligence, aiming at the evolution of Industry 4.0 practices. The methodology included process mapping, analysis of requirements for implementing the integrated system, and evaluation of the system's effectiveness. The integrated system enabled communication between the various systems in the production process, providing more accurate information to improve usability performance and ensure data security. The implementation of this system represented a significant advancement for the evolution of Industry 4.0 practices, providing improvements in quality, efficiency, and cost reduction.