Digital Factory is a broad category of manufacturing with the goal of optimizing concept generation, production, and product transaction. While manufacturing can be defined as the multi-phase process of creating a product out of raw materials, digital manufacturing is a subset that employs computer control and high levels of adaptability. Digital manufacturing aims to take advantage of advanced information and manufacturing technologies to enable flexibility in physical processes to address a dynamic and global market. There is increased workforce training for such flexibility and use of the technology rather than specific tasks as is customary in traditional manufacturing.
FBK CREATE-NET focus within this application domain is on performance monitoring and supply-chain optimisation in Industrial Internet.
A set of realistic Use Cases developed in collaboration with some of our partners or within our own facilities are described in the following:
- Industrial Workflow Optimisation. Provide manufacturing companies with the pulse of the factory, by offering a solution based on fog computing to streamline resource utilisation (e.g. energy, space, materials, time) in industrial processes. In the context of this activity, a pilot is currently running in the premises of an Italian manufacturing company. The fog computing layer interacts with an infrastructure composed by sensor tags and antennas and provides an accurate analysis on how assets and workers move from machine to machine and if they are in the right place at the right time, in order to assess if there are deviations from procedures or bottlenecks. The activity is performed in collaboration with a major Italian system integrator and with a company specialised on web analytics for indoor spaces. For more information about this use case please refer to RiSING Unit.
- FBK Clean Room 4.0. The Micro Nano characterization and fabrication Facility (MNF) of FBK is composed by Clean Rooms served by a air treatment system whose reliability is critical to guarantee continuity in the production process. A demo environment combining sensor technologies, edge/fog computing and AI techniques has been set up to demonstrate how the application of concepts and methodologies of Predictive Maintenance may enhance quality control of production processes in a real setting. For more information about this use case please refer to OpenioT Unit.