Autonomous Data Quality in the IDS
We extended the IDS ecosystem with a Data App for data quality management that helps to achieve the QU4LITY goal of Zero-Defect Manufacturing.
Systematic Planning of Quality Inspection Strategies in MS
Quality inspection planning is an integral part of the production planning process. It is often derived from the experience of the planner. Despite the increasing availability of data during the manufacturing phase and the emergence of data analytics tools to transform these data into valuable information, there is a lack of revising existing inspection activities as part of quality control.
QU4LITY project highlighted in APMS and CIRP Conferences
During the last year two research papers dedicated to QU4LITY project were presented at important conferences APM and CIRP CMS during 2020/21. Researchers from SINTEF Manufacturing participated with multiple research achievements of QU4LITY project and were highlighted and disseminated via these conferences.
Leading the change Industry 4.0
Industry 4.0 is the current transformation of traditional manufacturing and industrial practices through the digitalization.
Unsupervised Anomaly Detection System TNO
Detection of anomalies in production using repetitively trained auto encoder and unsupervised learning techniques
FIWARE Smart Fest
Meet users and experts from leading industries, advisory boards, etc. to discuss about the current state of play of the development of data spaces.
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