Principal investigator: Andrea Ballarino

ISP reference person: Roberto Marani

Start: 01/10/2018

End: 30/03/2021

OK-INSAID proposes scientific, technological, and application innovation in Industrial Data Analytics to help in the redesign of actual manufacturing networks and processes by leveraging data and analytics to achieve a step change in value creation, by transforming existing manufacturing processes and business models. It will integrate and demonstrate the potential of Big Data technologies to deliver new digital services in the industrial sector.

OK-INSAID recognizes the potential of industrial data that is far to be exploited by the Italian (and also EU) industries: data is potentially available; industries are not sufficiently able to extract the value (sometimes hidden) “inside” them. To this end, OK-INSAID will adopt and evolve state-ofthe-art (mainly open source) technology and define new Data Driven methods for industrial applications.

OK-INSAID proposes a novel approach to industrial analytics based on coordination, synchronization, and collaboration among analytics in cloud and at the edge. The approach will be supported by a reference architecture and a reference implementation to adopt in order to develop novel hybrid cloud-edge industrial analytics for Industry4.0.

The OK-INSAID approach, architecture and reference implementation will be validated and demonstrated in operational environments provided by AVIO, SACMI, CRF/FCA.

The main purposes of OK-INSAID can be conceptualized by placing them along the data lifecycle:

• Generation, collection and integration of data;
• Handling and management;
• Extraction of information and insight aimed at producing value-added information through descriptive, diagnostic, predictive and prescriptive, end-to-end analytics focused on non-structured data;
• Development of artificial intelligence for data analysis and decision support;
• Data Security.

In addition, particular attention is paid to sustainability and added value provided by the solutions proposed by the entire project, with the specific objective of developing new industrial and business scenarios based on industrial analytics.

All the innovative components realized will be integrated specific applications (i.e. predictive maintenance, zero-defect manufacturing and digital twinning) and then tested in three major industrial realities (i.e. CRF, AVIO and SACMI).

Finally, OK-INSAID aims to close the circle with respect to the need to make full use of the potential offered by modern Industry 4.0 facilities. This is achieved through the optimization of production, management and maintenance of industrial data.