Project

Programme

Topic

H2020-NMBP-TR-IND-2018-202 "TRANSFORMING EUROPEAN INDUSTRY"

H2020-DT-FOF-11-2020 "Quality control in smart manufacturing (IA)"

Call for proposal

H2020-NMBP-TR-IND-2018-2020

Funding scheme

IA - Innovation Action

Introduction

Manufacturing companies are continuously facing the challenge of redesigning and adjusting their manufacture systems. They adapt their process to produce goods adapted to specific requirements and produced under the minimum required production rate, guaranteeing high quality and limiting the use of resources in order to reduce production costs. Therefore, reducing waste, scraps and defects, as well as production costs and lead times will allow to increase productivity and hence, to pursue manufacturing excellence.
Nevertheless, current solutions show three major drawbacks: huge amount of data to manage during the manufacturing process; complexity of current solutions, not accessible for SMEs; Dynamic behaviour of the manufacturing factories; complexity of diverse, connected, interdependent entities which need suitable modelling and simulation approaches and data fusion techniques.

Objective

The project Industrial Data Services for Quality Control in Smart Manufacturing (i4Q) will help micro, small and medium European manufacturing enterprises overcome the hurdles preventing them from entering the Fourth Industrial Revolution.

 

I4Q will provide a complete solution to improve the quality of manufactured products aiming at zero-defect manufacturing, therefore pushing forward the concept of a smart, fully digitised factory. i4Q Project aims to provide an IoT-based Reliable Industrial Data Services (RIDS), a complete suite consisting 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.

Field of Science

The i4Q Framework will guarantee data reliability with functions grouped into five basic capabilities around the data cycle: sensing, communication, computing infrastructure, storage, and analysis and optimisation.

i4Q RIDS will include simulation and optimisation tools for manufacturing line continuous process qualification, quality diagnosis, reconfiguration and certification for ensuring high manufacturing efficiency, leading to an integrated approach to zero-defect manufacturing.


The i4Q RIDS solutions will be validated in six Uses Cases from relevant industrial sectors and representing two different levels of the manufacturing process: machine tool providers and production companies. 

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INFO

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

Project Coordinator

Stefanos Vrochidis (CERTH) 

 

Deputy Coordinator

Anastasios  (Tasos) Karakostas (CERTH)

Technical Coordinator

Raul Poler (UPV)

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