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Empty Factory

Project Results

The i4Q Project aims to provide a complete solution consisting of an IoT-based Reliable Industrial Data Services (RIDS), a complete suite composed of 22 i4Q Solutions, able to manage the huge amount of industrial data coming from cheap cost-effective, smart, and small size interconnected factory devices for supporting manufacturing online monitoring and control.

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Manufacturing 

Data

Quality

The necessary strategies, methods, and key technologies to ensure data quality, which is influenced by many factors including human error, communication issues or inaccuracies

i4q_3_Rapid Manufacturing Line Qualifica

Rapid Manufacturing Line Qualification
and Reconfiguration

Strategies and methods for process qualification as well as process reconfiguration and optimisation using existing manufacturing data and smart algorithms

Manufacturing Data Analytics for Manufacturing Quality Assurance

Turn data into information and actionable insights. 

i4q_2_Manufacturing Data Analytics for M
Empty Factory
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I4Q

INFO
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This project has received funding from the European Union’s Horizon 2020 research and innovation programme under grant agreement No. 958205. The content of this website does not represent the opinion of the European Union, and the European Union is not responsible for any use that might be made of such content.

COORDINATION
GET IN TOUCH

Project Coordinator

Stefanos Vrochidis (CERTH) 

 

Deputy Coordinator

Ilias Gialampoukidis (CERTH)

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Technical Coordinator

Raul Poler (UPV)

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