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Manufacturing Data Analytics for Manufacturing Quality Assurance

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Infrastructure Monitoring

Provides an ensemble of monitoring tools for smart manufacturing workload orchestration and predictive failure alerting, including monitoring the health of workloads and productively alerting and taking corrective actions when a predicted problem is detected. i4QIM supports industrial companies to reach autonomous operation in manufacturing environments.

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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
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Project Coordinator

Stefanos Vrochidis (CERTH) 

 

Deputy Coordinator

Ilias Gialampoukidis (CERTH)

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Technical Coordinator

Raul Poler (UPV)

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