Improving quality control and maintenance at manufacturing SMEs using big data analytics

Description

Challenge:

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.

Solution:

 Not described.

Implementation time:  12 months.

Implementation cost: € 40,687 + € 59,062

Output: 

 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.

Impact: 

Not described.

This is a application experiment supported by Cloudifacturingin its first wave (seethis experiment in project's site)

Project:
CloudiFacturing

Enterprises:
Zannini SPA (end-user); Nissatech Innovation Centre (SW provider) ; innomine (DIH) ‘

Sector
Transport

Keywords