Research Project

OK-INSAID: data and technologies for the factory of the future

ABSTRACT
A research project aimed at developing an advanced and integrated platform that leverages the value of data to improve products, processes and maintenance policies.

Where: international
Challenge
New technologies have paved the way for the 4th industrial revolution, a phenomenon that is transforming the factory into a veritable laboratory of technological innovation. The project we are coordinating is riding this wave. It was created with the aim of developing a smart factory platform that allows greater integration between ever more advanced production lines.
Approach
The entire system is based on the effective deployment of networks, communication protocols and cloud, as a virtual site for storing and processing data. In addition, particular attention is given to issues of data security and to the usage of the “Digital Twin” as a virtual copy of the factory on which “experiments” can be carried out and alternative scenarios predicted.
Digital Ecosystem
Solution
Digital Ecosystem

The solution is based on the integration of various technologies, including:

  • IoT, which provides sensors for production lines and generates big data (which are then collected and processed).
  • Artificial Intelligence, which defines models and algorithms (such as analytics libraries) that can be applied in production line maintenance for analysing product quality and making production processes more efficient.

Project outcomes will be validated in four tests coordinated by leading global manufacturers:

  • Zero Defect Manufacturing (ZDM) by Centro Ricerche Fiat/FCA.
  • Predictive maintenance by AVIO.
  • Models for cyber-physical system (CPS) factories by AVIO.
  • Process control cycles: diagnostics and predictive analytics by SACMI.

The project is funded with PON Research and Innovation 2014-2020 and FSC funds (www.ponricerca.gov.it) .

Results

 

 

 

 

Support for product and process improvement

 

 

Greater business competitiveness

Markets
Ecosystem

Impacts

Technologies

To know more
Case Study

Reengineering of the Health Record of the Regione Molise

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Use Case

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Introduction of the Workers Employability Guarantee Program (GOL) in Information Systems for Employment and Vocational Training.

The Meter-to-Cash of Gelsia evolves with the Cloud

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