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
Files
2021 IEEE MI4IoT Tasos et al.pdf
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