Quality4.0 -- Transparent product quality supervision in the age of Industry 4.0
November 12, 2020 Β· Declared Dead Β· π Advances in Intelligent Systems and Computing
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Authors
Jens Brandenburger, Christoph Schirm, Josef Melcher, Edgar Hancke, Marco Vannucci, Valentina Colla, Silvia Cateni, Rami Sellami, SΓ©bastien Dupont, Annick Majchrowski, Asier Arteaga
arXiv ID
2011.06502
Category
cs.AI: Artificial Intelligence
Cross-listed
cs.SE
Citations
5
Venue
Advances in Intelligent Systems and Computing
Last Checked
4 months ago
Abstract
Progressive digitalization is changing the game of many industrial sectors. Focus-ing on product quality the main profitability driver of this so-called Industry 4.0 will be the horizontal integration of information over the complete supply chain. Therefore, the European RFCS project 'Quality4.0' aims in developing an adap-tive platform, which releases decisions on product quality and provides tailored information of high reliability that can be individually exchanged with customers. In this context Machine Learning will be used to detect outliers in the quality data. This paper discusses the intermediate project results and the concepts developed so far for this horizontal integration of quality information.
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