Published June 9, 2021 | Version Author
Journal article Open

Industrial Data Services for Quality Control in Smart Manufacturing – the i4Q Framework

  • 1. Information Technologies Institute, Centre for Research and Technology Hellas (CERTH-ITI), Thessaloniki, Greece
  • 2. Research Centre on Production Management and Engineering (CIGIP), Escuela Politécnica Superior de Alcoy, Universitat Politècnica de València, Alcoy, Spain
  • 3. Research Centre on Production Management and Engineering (CIGIP), Universitat Politècnica de València, Valencia, Spain

Description

This paper presents a new innovative framework to support smart manufacturing quality assurance. More specifically, the i4Q framework provides an IoT-based Reliable Industrial Data Services (RIDS), a complete suite consisting of 22 innovative 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. The i4Q Framework guarantees data reliability with functions grouped into five basic capabilities around the data cycle: sensing, communication, computing infrastructure, storage, and analysis-optimization. i4Q RIDS includes simulation and optimization 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. This paper presents the main principles of the i4Q framework and the relevant industrial case studies on which it will be evaluated.

Notes

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Additional details

Funding

i4Q – Industrial Data Services for Quality Control in Smart Manufacturing 958205
European Commission