Utilize este identificador para referenciar este registo: https://hdl.handle.net/1822/62958

TítuloDisruptive data visualization towards zero-defects diagnostics
Autor(es)Ferreira, Luís
Putnik, Goran D.
Lopes, Nuno
Garcia, Wiley
Cruz-Cunha, Maria M.
Castro, Hélio
Varela, M.L.R.
Moura, João Martinho
Shah, Vaibhav
Alves, Cátia
Putnik, Zlata
Palavras-chaveDisruptive data visualization
industry 4.0
IoT
Manufacturing systems
Zero-defects diagnostics
Data2018
EditoraElsevier B.V.
RevistaProcedia CIRP
Resumo(s)Innovative processes become available due to the high processing capacity of emergent infrastructures, such as cloud and ubiquitous computing and organizational infrastructures and applications. However, these intense computation processes are difficult to follow, where co-decision is required, for which the existence of disruptive visualization and collaboration tools that offer a visual tracing capacity with integrated decision supporting tools, are critical for its sustainable success. This project proposes: a) a set of immersive and disruptive visualization tools, supported by virtual and augmented reality, that enables a global perspective of any production agents; b) a data analytics tool to complement and assist the decision making; c) a resource federated network that allows the brokering and interaction between all existing resources; and d) a dynamic context-aware dashboard, to improve the overall productive process and contribute to intelligent manufacturing systems. The application domain addressed is Zero-Defects Diagnostics in manufacturing as well as in Industry 4.0 in general.
TipoArtigo em ata de conferência
URIhttps://hdl.handle.net/1822/62958
DOI10.1016/j.procir.2017.12.270
ISSN2212-8271
Arbitragem científicayes
AcessoAcesso aberto
Aparece nas coleções:CAlg - Artigos em livros de atas/Papers in proceedings

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Este trabalho está licenciado sob uma Licença Creative Commons Creative Commons

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