XMANAI AI platform, manage and analyse the real-time and batch data acquired by Ford Corporative systems, and the scheduled data contained in the MP&L, maintenance and Tooling systems, in order to build novel AI models that contribute to the provision of recommendations to optimize the line throughput of the current and successive shifts. The hybrid and graph AI models to be explored, trained and evaluated in XMANAI, will allow created alerts of different uses cases: (a) Representation in real time of production and traceability; (b) simulation of some changes in the line production; (c) advices in the production batches in terms of size, mix and schedule; (d) the tool change strategy based on line efficiency and tool life; (e) buffer stock management; (f) maintenance tasks based on line efficiency, machine/people/tools availability.
UNIMETRIK Pilot Unimetrik is a Metrological Service company, oriented to offer solutions for the industry related to Calibration, Measurement and Metrological engineering. UNIMETRIK is accredited by ENAC and acknowledged by the principal aeronautic groups in Spain. It is exporting its technology to countries such as USA, Germany, Brazil and the Czech Republic. Unimetrik is part […]
CNH Industrial Pilot The CNHi of Italy tractor plant, located in Modena (Emilia-Romagna), is currently manufacturing APL and APH drivelines that are used to equip the tractors that CNHi will assemble in its assembly plants worldwide. The average annual production of the plant is 60K Drivelines, which are supplied to the final assembly plants of […]
Did you know that the XMANAI project has a youtube channel?
The XMANAI Project has a youtube channel!
Have you ever heard about Graphical Neural Networks?
XMANAI is one of the few European projects focusing on eXplainable Artificial Intelligence (XAI) methodology. However, XMANAI doesn’t use only XAI to analyze deeper and efficient the data but also introduces many other novel methodologies to provide better data insights. Have you ever listen about Graphical Neural Networks?