Doctoral Dissertation: Development of a generic data model
Generic data model to reveal optimization potential under consideration of the throughput
The term "Industrial Internet of Things" was expressed for the first time in 2011 at the Hanover Fair. Today, the use of this term has already taken on inflationary features and many companies associate with this term currently more a marketing instrument. But the digital transformation of companies, which is to be approached in the sense of Industrial IoT, holds numerous optimization potentials. Flexibility in particular is becoming increasingly important in view of the inclined degree of product individualisation. Ensuring this flexibility sometimes requires additional production capacity. Companies are faced with the problem that a new machine would generate more output and more sales, but the machine would not be running to capacity. The payback period would be extended, which would have a negative impact on costs. Therefore it is important to start and to offer companies, by means of Industrial IoT solutions, possibilities to adapt their production with existing resources and to uncover unused capacity reserves.
August 2018 to July 2021
between the University of Applied Sciences Dresden and the TU Chemnitz