Regression

With increasing availability of data, the use of machine learning to optimize supply chains becomes attractive, as the accuracy of data analysis can be increased and simultaneously the effort can be reduced. Based on the SCOR model, exemplary approaches are described as a guidance and suitable machine learning methods are presented.

In the BMBF-funded project “Provenance Analytics” research groups at the Bauhaus-Universität Weimar and the Hochschule Ostwestfalen-Lippe develop approaches for detecting anomalies in sensor data. In this short survey, we review the main methods for predicting failures in the production processes of manufacturing machines and give a brief overview of the activities planned in the project.