The DIGITbrain project us an EU Research and Innovation Program, funded by Horizon 2020. DIGITbrain Project will be awarded 8 million euros over the next 3.5 years. The young innovation project, which started on 1st July 2020 aims to enable small and medium-sized European manufacturing companies to benefit from AI-based Manufacturing-as-a-Service (MaaS).
A Digital Twin is the virtual representation of a product, system or process that simulates its physical attributes in the real-world in real time. By collecting data from its physical counterpart, manufacturers are enabled to streamline the manufacturing process and make predictions regarding machine failures or maintenance needs.
Compared to the digital twin concept, which is increasingly used by manufacturing companies today, the DIGITbrain concept will go one step further by developing the ‘Digital Product Brain‘ which will store data throughout the entire life cycle of a production line or a machine. By collecting all this data, it will be possible to customize and set-up machines/production assets for very specific manufacturing tasks whenever needed (see figure). This will enable a new manufacturing model, called Manufacturing-as-a-Service (MaaS), which will allow for on-demand production of much more specialized products, even in smaller quantities and still in an economically profitable way.
The ambition of the DIGITbrain project is centered around two areas that will enable innovative use cases. On the one hand, the project realizes an ambitious technological vision by developing the Digital Brain concept and its enabling technologies. On the other hand, it assures that these technological advances are taken up by a critical mass in the manufacturing sector, especially by SMEs and mid-caps, resulting in the smart business model Manufacturing as a Service, facilitated by a network of interconnected Digital Innovation Hubs (DIHs). Finally, the technology and business centered ambitions are enabling innovative use cases to be co-created and implemented in over 20 application experiments (to be added in two Open Calls).