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

20242

Configurações

Autor: search.filters.author.ARAÚJO, Lívia Fernanda Lobão deTem arquivos: Sim

Resultados da Pesquisa

Agora exibindo 1 - 2 de 2
  • 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
    Transformação digital no Polo Industrial de Manaus (PIM): desenvolvimento e implementação de um sistema de Kanban eletrônico utilizando inteligência artificial para otimização e sequenciamento de produção em uma empresa de fitas do PIM
    (Instituto de Tecnologia e Educação Galileo da Amazônia, 2024) ARAÚJO, Lívia Fernanda Lobão de; GUIMARÃES, Gil Eduardo
    This thesis discusses the development and implementation of an electronic Kanban system integrated with artificial intelligence (AI) to optimize the production sequencing process in a company located in the Industrial Pole of Manaus (PIM). The main objective of this work is to enhance operational efficiency, integrate production processes, and reduce costs through the adoption of Industry 4.0 technologies. The study explores the application of electronic Kanban as an automation tool, integrated with AI, to manage production more efficiently and transparently. The developed system aims to optimize resource allocation and supply chain management, also offering improvements in quality control and process traceability. The results demonstrate the system’s effectiveness in increasing productivity, reducing errors and rework, and enabling real-time adjustments in the production process.