Manufacturing Data Analytics for Manufacturing Quality Assurance

Luís Carlos Guimarães Lourenço, Paulo Alves Figueiras, Ruben Costa, Myrsini Ntemi, Benjamin Mandler, Athina Tsanousa, Ilias Gialampoukidis, Ana Gomez, Leturiondo Urko, Stefanos Vrochidis, Santiago Gálvez-Settier, Raul Poler

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

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Nowadays, manufacturing companies are eager to access insights from advanced analytics, without requiring them to have specialized IT workforce or data science advanced skills. Most of current solutions lack of easy-to-use advanced data preparation, production reporting and advanced analytics and prediction. Thanks to the increase in the use of sensors, actuators and instruments, European manufacturing lines collect a huge amount of data during the manufacturing process, which is very valuable for the improvement of quality in manufacturing, but analyzing huge amounts of data on a daily basis, requires heavy statistical and technology training and support, making them not accessible for SMEs. The European i4Q Project, aims at providing 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. This paper will present a set of i4Q services, for data integration and fusion, data analytics and data distribution. Such services, will be responsible for the execution of AI workloads (including at the edge), enabling the dynamic deployment industrial scenarios based on a cloud/edge architecture. Monitoring at various levels is provided in i4Q through scalable tools and the collected data, is used for a variety of activities including resource monitoring and management, workload assignment, smart alerting, predictive failure and model (re)training.
Original languageEnglish
Title of host publicationProceedings of Interoperability for Enterprise Systems and Applications Workshops co-located with 11th International Conference on Interoperability for Enterprise Systems and Applications (I-ESA 2022)
EditorsMartin Zelm, Andrés Boza, Ramona-Diana León, Raul Rodriguez-Rodriguez
Number of pages8
Publication statusPublished - Sept 2022
Event2022 Interoperability for Enterprise Systems and Applications Workshops, I-ESA Workshops 2022 - Valencia, Spain
Duration: 23 Mar 202225 Mar 2022

Publication series

NameCEUR Workshop Proceedings
ISSN (Print)1613-0073


Conference2022 Interoperability for Enterprise Systems and Applications Workshops, I-ESA Workshops 2022


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