Sustainability improvements in industrial production are essential for tackling climate
change and the resulting ecological crisis. In this context, resource efficiency can directly …

In the course of digitization, a drastically increased amount of acquired data in production
systems can be observed. Nevertheless, only a minor part of the acquired data is practically …

In many current supply chains, transport processes are not yet being monitored concerning
how they influence product quality. Sensor technologies combined with telematics and …

A key factor in maintaining a logistics network in a competitive state is gaining and
visualizing knowledge. The process of gaining knowledge from a given data basis is called …

The aim of this study is to discuss the characteristics of the input data to the data analytical
algorithms of a predictive maintenance system, from the viewpoint of big data technology …

Driven by digital transformation, manufacturing systems are heading towards autonomy. The
implementation of autonomous elements in manufacturing systems is still a big challenge …

Production planning and control are characterized by unplanned events or so-called
turbulences. Turbulences can be external, originating outside the company (eg, delayed …

Durch Industrie 4.0 wächst die Möglichkeit der Vernetzung und der dadurch erzeugten und
speicherbaren Datenmengen stetig an. Datenanalytik als neues Trend-Thema soll aus …

Zusammenfassung Ob Industrie 4.0, Big Data, Predictive Analytics oder Robotik–die digitale
Transformation hat viele Facetten. Sie führt aber nicht nur zu einem Paradigmenwechsel in …

Industrie 4.0 steht inhaltlich sowie konzeptionell für die vierte Revolution industrieller
Fertigung. Der Entwicklungspfad vollzieht sich seit Ende des 18. Jahrhunderts schrittweise …