LEITE, Jandecy Cabral2025-02-032022RAMOS 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.https://rigalileo.itegam.org.br/handle/123456789/361The 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.PDF.Redes Neurais ProfundasManufatura InteligenteIndústria 4.0Sistemas de Execução de Manufatura (MES)Sistemas de Execução de Manufatura (MES)ArtigoEngenharias - Engenharia de Produção