Much research is done on data analytics and machine learning for data coming from
industrial processes. In practical approaches, one finds many pitfalls restraining the …

In complex production systems, the diagnosis and correction of faults requires operators to
possess a deep understanding of the specific processes and machines as well as general …

Nowadays cross-industry ranging challenges include the reduction of greenhouse gas
emission and enabling a circular economy. However, the production of paper from waste …

In this paper we propose a new method to assist in labeling data arriving from fast running
processes using anomaly detection. A result is the possibility to manually classify data …

Operator assistance systems can help to reduce disturbance-related machine downtime in
food production and packaging processes, especially when combined with machine …

Kurzzusammenfassung Die Effizienz von Verarbeitungs-und Verpackungsmaschinen hängt
ganz wesentlich vom Erfahrungs-und Prozesswissen der Bediener ab. Unerfahrenen …

Abstract (EN) The paper production industry has witnessed significant advancements in
automation, yet human expertise remains crucial for process control due to its complexity …

This study introduces a method to optimize charging strategies for Automated Guided
Vehicles in warehouses and logistics centers, aiming to enhance e ciency and reduce …

To reduce the number of unplanned machine stops in packaging machines the root cause of
the short but frequent interruptions has to be found. To assist operators in trouble shooting …