Pressious Data Space

Pressious Data Space Experiment - AI-driven digital transformation of European Manufacturing SMEs
Project ID
Funding Organization:
Funding Programme:
AI Regio
Funding Instrument:
Open Call
Start Date:
01/04/2022
Duration:
8 months
Total Budget:
99,687 EUR
ITI Budget:
26,500 EUR
Scientific Responsible:

The experiment targets the development of an embryonic Manufacturing Data Space (MDS), in order to feed advanced AI4Manufacturing applications, which aligns with Pressious interests and future directions.

In the same direction, CERTH DIH as the Greek IDSA Hub, aims to promote the creation of dataspaces in the country. Furthermore CERTH aims to add further services to nZEB DIH based on the developments within this experiment and to further validate existing services and algorithms with the new data available in the MDS.

Pressious is exhibiting a significant environmental footprint, since its manufacturing process involves an extensive usage of raw materials (water, paper, ink, aluminium). Although the environmental impact of the company and the problems associated with the product defects have already been identified and partially addressed, their current management leads to excessive cost. For this purpose, Pressious R&D team has already collaborated with the National and Kapodistrian University of Athens (NKUA) in order to implement Machine Learning (ML) models, taking advantage of the historical data that have been collected by the company’s production line. Based on this dataset as well as the experience of the CERTH nZEB DIH with tools like the International Data Spaces Connector (IDS Connector) and the open source platform offered by AI Regio, such as the Apache StreamPipes, the targets of the present activity primarily involve the minimization of the production chain defects, the reduction of the company’s environmental footprint and effective cost reduction/production enhancement through the creation of a Manufacturing Data Space (MDS).

In particular, the key objectives of this project include the:

• Digitalization of the manufacturing processes adopting end-to-end pipelines (Apache Streampipes), increasing the efficiency and control of the production

• Dreation of an MDS, following the FAIR principles, utilizing the existing labelled dataset

• Minimization of the product deficiencies that are observed during the final quality control

• Facilitation of circular economy principles, becoming environmentally friendly by minimizing the use of wasted materials

• Production cost reduction in order to increase human resource efficiency and enhance the production

• Extension of DIH available domains by adding the new one related to printing and creation of opportunities for further collaboration.

• Further promotion of data-sharing activities and data spaces establishment (especially for Greece)

• Dissemination of the project outcomes and exploitation of the gathered experience

Consortium

PRESSIOUS ARVANITIDIS S.A. (PRESS), COORDINATOR, GREECE
NATIONAL KAPODISTRIAN UNIVERSITY OF ATHENS (NKUA), GREECE
ETHNIKO KENTRO EREVNAS KAI TECHNOLOGIKIS ANAPTYXIS / CENTRE FOR RESEARCH AND TECHNOLOGY HELLAS -EKETA/CERTH (CERTH’S NZEB SMART HOME DIH), GREECE

Contact

Dr. Dimitrios Tzovaras
(Scientific Responsible)
Building A - Office 1.1Α

Information Technologies Institute
Centre of Research & Technology - Hellas
6th km Harilaou - Thermis, 57001, Thermi - Thessaloniki
Tel.: +30 2311 257777
Fax: +30 2310 474128
Email: Dimitrios.Tzovaras@iti.gr

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