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

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

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Karakostas, A.; Poler, R.; Fraile Gil, F.; Vrochidis, S. (2021). Industrial Data Services for Quality Control in Smart Manufacturing - the i4Q Framework. IEEE. 454-457. https://doi.org/10.1109/MetroInd4.0IoT51437.2021.9488490

Por favor, use este identificador para citar o enlazar este ítem: http://hdl.handle.net/10251/190666

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Title: Industrial Data Services for Quality Control in Smart Manufacturing - the i4Q Framework
Author: Karakostas, Anastasios Poler, R. Fraile Gil, Francisco Vrochidis, Stefanos
UPV Unit: Universitat Politècnica de València. Escuela Politécnica Superior de Alcoy - Escola Politècnica Superior d'Alcoi
Issued date:
Abstract:
[EN] 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 ...[+]
Subjects: Product quality , Process quality , Data quality , Data reliability , Blockchain , Virtual sensors , Digital twins , Process simulation , Process optimization , Zero-defect manufacturing
Copyrigths: Reserva de todos los derechos
ISBN: 978-1-6654-1980-2
Source:
2021 IEEE International Workshop on Metrology for Industry 4.0 & IoT (MetroInd4.0&IoT).
DOI: 10.1109/MetroInd4.0IoT51437.2021.9488490
Publisher:
IEEE
Publisher version: https://doi.org/10.1109/MetroInd4.0IoT51437.2021.9488490
Conference name: IEEE International Workshop on Metrology for Industry 4.0 & IoT 2021
Conference place: Online
Conference date: Junio 07-09,2021
Project ID:
info:eu-repo/grantAgreement/EC/H2020/958205/EU
Thanks:
This project has received funding from the European Union's Horizon 2020 research and innovation programme under grant agreement No 958205
Type: Comunicación en congreso Capítulo de libro

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