Improve process control at Zannini with the help of advanced big data analytics. Introduce and use data analytics driven production process monitoring for high-dimensional and multi-variable process control at ZAN in order to reduce scrap rate and increase process capability.
By applying NISSA data analytics toolkit running on cloud resources, manufacturing data will be better leveraged, utilized and analysed.
For innomine, Digital Twin.
Implementation time: 12 months.
Implementation cost: € 40,687 + € 59,062
Based on big data analytics ZAN will identify anomalies and deviations in real-time. It will allow ZAN to localize and prevent their occurrence and propagation to next stages.
This is a application experiment supported by Cloudifacturingin its first wave (seethis experiment in project's site)
Zannini SPA (end-user); Nissatech Innovation Centre (SW provider) ; innomine (DIH) ‘