The MUSIC project results are in agreement to Smart Manufacturing strategy that is oriented to zero defect and system efficiency with the support of new ICT platform with full interoperability of systems, with flexibility for small or large factory, with optimal solution for one size or serial production, improving the human machine interaction as well as sharing the information along the supply chain

The Remote control of multi-stages production chain  montitors the process stability,  the stops and times. The monitoring is applicable to existing or new production lines independently by the trademark. The Smart Monitoring module is collecting all process data in a server database (or cloud), via OPC_UA protocol, coming from all existing devices and active sensors in the production line.

The platform is scalable and flexible enablign the comntrol of multi-lines factory wiht different sites, as well as it can open the collaboration along the supply chain.

It increases the knowledge of the process from the data and re-use the best practice for next batch or similar components. The real-time visualization of elaborated data, including warning and alarm messages and statistic production diagrams, can be customized for multiple users’ interfaces as machine operator, production manager and plant director.

The Real Time improvement of Overall Equipment Effectiveness (OEE) takes into account the Availability (Unplanned and Planned Stops), the Performance (FastCycles and Small Stops) and Quality (Good parts produced). The KPIs of the OEE are immediately elaborated monitoring the time of each stage in the cycle and predicting the defects by implemented cognitive model.

The application of Artificial Intelligence, the cognitive approach, supports the process optimization with proper suggested reactions. The smart web Graphical User Interface (GUI) visualizes the data and deviation, share and communicate the significant KPI to support the decision making with proper reactions in real-time.

The intelligent process data management, bases on Data-Driven Digital Twin, is applicable to traditional or advanced manufacturing processes (e.g. casting, thermoforming, etc  or the innovative additive manufacturing) always orienetd to ZDM for smart and complex products.

The data is the fuel of Data-driven digitla twin. The innovation is the combining of real data and virtual data coming from simulation of the manufactruing process.

The equipment and devices are sensorized to be deeper monitored

Manufacturing cell is monitored with data acquisition from  any level.

All stages of production line are connecteted to the Data-Driven Digital Twin platform

All different production lines and plants can be monitored wiht the same platform because it is felxible and scalable.

Data-Driven Digital Twin enables the collaboration between OEM and Suppliers