The Role of Industry 4.0 and BPMN in the Arise of Condition-Based and Predictive Maintenance: A Case Study in the Automotive Industry
Source abstract
Abstract
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.
Source: crossref · Quality: baseline
Research context
OpenAlex topics: Flexible and Reconfigurable Manufacturing Systems · Digital Transformation in Industry · Manufacturing Process and Optimization
SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.
Affiliations
Department of Economics, Management, Industrial Engineering and Tourism, GOVCOPP, Campus Universitário de Santiago, Aveiro University, 3810-193 Aveiro, Portugal
Industrial Engineering and Management, EIGeS, Lusófona University, 1749-024 Lisbon, Portugal
Research Center in Digital Services, CISeD, Polytechnic Institute of Viseu, Campus Politécnico, 3504-510 Viseu, Portugal
Department of Economics, Management, Industrial Engineering and Tourism, IEETA, Campus Universitário de Santiago, Aveiro University, 3810-193 Aveiro, Portugal
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