渐进的数字化正在改变许多工业部门的游戏。关注产品质量这个所谓的行业4.0的主要盈利驱动力将是整个供应链上的横向信息集成。因此，欧洲RFCS项目“质量4.0”旨在开发一个适应性平台，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。本文讨论了中间项目结果和迄今为止为质量信息的横向集成开发的概念。

原文题目：Quality4.0 - Transparent product quality supervision in the age of Industry 4.0  

原文：Progressive digitalization is changing the game of many industrial sectors. Focusing on product quality the main profitability driver of this socalled 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 adaptive 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.

原文作者：Jens Brandenburger1, Christoph Schirm, Josef Melcher, Edgar Hancke, Marco Vannucci, Valentina Colla, Silvia Cateni, Rami Sellami, Sébastien Dupont, Annick Majchrowski，Asier Arteaga

原文地址：https://arxiv.org/abs/2011.06502