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.

中文翻译：

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Quality4.0——工业4.0时代透明的产品质量监管

渐进式数字化正在改变许多工业部门的游戏规则。关注产品质量的所谓工业 4.0 的主要盈利驱动力将是信息在整个供应链上的横向整合。因此，欧洲 RFCS 项目“Quality4.0”旨在开发一个自适应平台，该平台发布产品质量决策并提供可与客户单独交换的高可靠性定制信息。在这种情况下，机器学习将用于检测质量数据中的异常值。本文讨论了迄今为止为这种质量信息的横向集成开发的中间项目结果和概念。