Beginning with the innovation idea, our approach allows capturing requirements, functional, and structural aspects of the innovation under design in an innovation model with defined semantics. In our work, we propose a modeling methodology offering a better collaboration in this innovation design phase. One idea is to streamline the innovation process outside current product development cycles (7 + years) within the automotive value chain. It is thus indispensable for companies to collaborate on reducing the time to find and design innovations in order to remain competitive. Today, once a member of the automotive value chain devises an innovation, the time-to-market could be years due to traditional forms of collaboration. The rapid introduction of innovations plays a major role in automotive industries. Resilience to handle scalability and interoperability. Paper discusses the ability of PdMSys to transform theĬompany's traditional practices into digital and proactive ones.Īdditionally, the financial benefits of implementing PdMSysĪre also presented. Managing the maintenance KPIs across the ore mine. Monitoring assets' health state and secondly effectively Parameters, and other systems databases to enable first The system sources data from the field sensors, the machine's PdMSys is a transversal andĬustomized system created for three users’ hierarchical levels. Mining industry stakeholders' needs and expectations Language such as SysML helped dissect all aspects to meet the Using model-based system engineering according to the system Presents the predictive maintenance system PdMSys design Through all the organization management levels. Issue is more present in the maintenance information’s flow Information unavailability problems to manage better the Industry 4.0 technologies, it is mandatory to deal with Looking forward to integrating practically the
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