Quality4.0 -- Transparent product quality supervision in the age of Industry 4.0

TL;DR

This paper discusses the development of an adaptive platform leveraging Industry 4.0 digitalization, machine learning, and horizontal supply chain integration to enhance transparent product quality supervision.

Contribution

It introduces a novel platform concept for integrated quality supervision in Industry 4.0, utilizing machine learning for outlier detection and tailored information exchange.

Findings

Development of an adaptive quality supervision platform

Use of machine learning for outlier detection in quality data

Concepts for horizontal integration of quality information

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.