Quality4.0 -- Transparent product quality supervision in the age of Industry 4.0
This addresses the problem of product quality management for industrial sectors in the context of Industry 4.0 digitalization, but appears incremental as it builds on existing concepts without claiming major breakthroughs.
The paper tackles the challenge of transparent product quality supervision in Industry 4.0 by developing an adaptive platform for horizontal integration of quality information across supply chains, using machine learning to detect outliers in quality data, with intermediate project results and concepts presented.
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.