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

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