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.

Navegar

Filtros

20243

Configurações

Tem arquivos: SimAssunto: search.filters.subject.Automation

Resultados da Pesquisa

Agora exibindo 1 - 3 de 3
  • Imagem de Miniatura
    Item
    Digital transformation in the Manaus Industrial Hub (PIM): development and implementation of an electronic Kanban system using Artificial Intelligence for production optimization and sequencing in a PIM tape company
    (Instituto de Tecnologia e Educação Galileo da Amazônia, 2024) ARAÚJO, Lívia Fernanda Lobão de; GUIMARÃES, Gil Eduardo
    This article presents the development and implementation of an electronic Kanban system with Artificial Intelligence (AI) in a company in the Manaus Industrial Estate (PIM). The research, based on Industry 4.0 principles, aimed to optimize production order sequencing and promote greater operational efficiency, process integration, and cost reduction. Using an applied and exploratory approach, quantitative and qualitative methods were used to identify bottlenecks and develop technological solutions aligned with the company’s needs. The results showed a 67% reduction in order entry time, a 22% increase in Overall Equipment Efficiency (OEE), and an 18% drop in non-conformities. This study highlights the transformative potential of digitalization and automation for PIM companies.
  • Imagem de Miniatura
    Item
    Industry 4.0 techniques applied to the improvement of the cutting process of Lithium-Ion battery terminals
    (Instituto de Tecnologia e Educação Galileo da Amazônia, 2024) SILVA, Linconl Fábio da; OLIVEIRA, Reinaldo Viana de; ALENCAR, David Barbosa de; NASCIMENTO, Manoel Henrique Reis; SANTOS, Alyson de Jesus dos; LEITE, Jandecy Cabral
    Industry 4.0 has revolutionized manufacturing processes with the integration of advanced technologies. This study investigates the application of Industry 4.0 techniques to optimize the cutting process of lithium-ion battery terminals. The use of smart sensors, machine learning, and automation resulted in greater precision, waste reduction, and production time optimization. The results demonstrate that the digitization and automation of the cutting process bring significant benefits to the battery industry.
  • Imagem de Miniatura
    Item
    Fuzzy Logic-Based Compliance Assessment For Display Testing In Industrial Measurement Systems
    (Instituto de Tecnologia e Educação Galileo da Amazônia, 2024-10-01) SOUZA, Márcio André de Oliveira; NASCIMENTO, Manoel Henrique Reis; LEITE, Jandecy Cabral; BRITO JUNIOR, Jorge de Almeida; QUEIROZ JUNIOR, Fernando Cardoso de
    This study presents the development and implementation of a fuzzy logic-based system aimed at automating the compliance evaluation process for display testing in industrial measurement systems. The fuzzy inference system was programmed in Python, using linguistic variables and fuzzy rules to assess performance parameters like accuracy, response time, and error margins. Results showed that the system classified 93% of devices in accordance with established compliance standards, improving the reliability and efficiency of display testing in industrial environments.