Utilize este identificador para referenciar este registo:
http://hdl.handle.net/10400.19/7364
Título: | The Role of Industry 4.0 and BPMN in the Arise of Condition-Based and Predictive Maintenance: A Case Study in the Automotive Industry |
Autor: | Fernandes, Jorge Reis, João Melão, Nuno Teixeira, Leonor Amorim, Marlene |
Palavras-chave: | Industry 4.0; condition-based maintenance predictive maintenance business process model and notation business process management |
Data: | 12-Abr-2021 |
Citação: | Fernandes, J.; Reis, J.; Melão, N.; Teixeira, L.; Amorim, M. The Role of Industry 4.0 and BPMN in the Arise of Condition-Based and Predictive Maintenance: A Case Study in the Automotive Industry. Appl. Sci. 2021, 11, 3438. https:// doi.org/10.3390/app11083438 |
Resumo: | This article addresses the evolution of Industry 4.0 (I4.0) in the automotive industry, exploring its contribution to a shift in the maintenance paradigm. To this end, we firstly present the concepts of predictive maintenance (PdM), condition-based maintenance (CBM), and their applications to increase awareness of why and how these concepts are revolutionizing the automotive industry. Then, we introduce the business process management (BPM) and business process model and notation (BPMN) methodologies, as well as their relationship with maintenance. Finally, we present the case study of the Renault Cacia, which is developing and implementing the concepts mentioned above. |
Peer review: | yes |
URI: | http://hdl.handle.net/10400.19/7364 |
DOI: | 10.3390/app11083438 |
Aparece nas colecções: | CISeD - Artigo em revista científica, indexada ao WoS/Scopus ESTGV - DG - Artigo em revista científica, indexada ao WoS/Scopus |
Ficheiros deste registo:
Ficheiro | Descrição | Tamanho | Formato | |
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applsci-11-03438.pdf | 2,8 MB | Adobe PDF | Ver/Abrir |
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