Autor: Sebastian Groggert

In accordance to the study “Manufacturing Data Analytics” published by the University of St. Gallen in cooperation with RWTH Aachen in 2017, various aspects of industrial data usage are examined. Different topics such as technical systems, implementation status and organizational approaches are analysed. While some companies are still in a launching stage, other companies are already able to make predictions through comprehensive data collection and exploitation. Thereby, they can significantly improve their efficiency in production.

Fulfilling individual customer demands requires a high level of flexibility in the manufacturing industry. To produce heterogeneous orders, companies need various production resources while capacity requirements vary. Cooperation in value-adding networks allows for the trade of production resources and thus for the dynamic adaption of capacities. This contribution describes a cloud-based platform for the B2B exchange of production capacities, which supports an efficient, flexible and individual production in industry 4.0.