SDSC BW: Dynamic Machine Planning with Smart Data Technologies

During the production process at the automotive supplier Erdrich Umformtechnik GmbH, various data accumulate at different times. These come, for example, from the machine used, their equipment or the origin of a component (manufacturer, batch). For the SDSC BW experts, the company provided the data of the whole process that are generated during and after the production from MES and ERP over a period of 1.5 years at the Thuringian production site. The project team was able to identify important processing variables, which often lead to production delays (certain workplaces and products), different processing chains that can improve the timing of Erdrich’s production. The team evaluated a number of powerful and modern algorithms (including Lasso Regression, XGBoost Regression Trees) as well as exciting preprocessing steps (e.g. building features over historical data to represent, for instance, a wear in a machine.)

Further information can be found at: www.sdsc-bw.de

Data Innovation Community

Industry 4.0

Project partners

Erdrich Umformtechnik GmbH, Smart Data Solution Center Baden-W├╝rttemberg

Contact person

Tobias Fischer / lean manager