Application of Deep Neural Network in Intelligent System with Production Dashboard
Arquivos
Data
2022
Título da Revista
ISSN da Revista
Título de Volume
Editor
Instituto de Tecnologia e Educação Galileo da Amazônia
Resumo
The Lean Manufacturing process is a strategic methodology aimed at reducing production waste, ensuring product quality, minimizing delivery time, and reducing defects. However, the company analyzed lacks technologies that enable the effective implementation of this methodology. This study proposes the development of an Intelligent Lean Manufacturing System based on the requirements of a Manufacturing Execution System (MES), assisting decision-making in production control and management through technologies such as Artificial Intelligence, Internet of Things (IoT), and Embedded Systems. The system includes Deep Neural Network (DNN) algorithms to forecast demand, optimize processes, and monitor real-time indicators. The research demonstrates that the application of these technologies can reduce costs and improve production quality, raising manufacturing maturity levels to Industry 4.0 standards.
Descrição
Palavras-chave
Redes Neurais Profundas, Manufatura Inteligente, Indústria 4.0, Sistemas de Execução de Manufatura (MES), Sistemas de Execução de Manufatura (MES)
Citação
RAMOS JUNIOR, Juarez da Silva; LEITE, Jandecy Cabral; GOMES, Marivan Silva; PAULA, Railma Lima de; CARVALHO, Michael da Silva; SILVA, Ítalo Rodrigo Soares; SIQUEIRA JUNIOR, Paulo Oliveira; PARENTE, Ricardo Silva; MIRANDA, Luís Gabryel dos Santos. Application of deep neural network in intelligent system with production dashboard. International Journal of Development Research, v. 12, n. 11, p. 60074-60085, nov. 2022. DOI: 10.37118/ijdr.25662.11.2022.