Digital Production Technology

  • Feature engineering and preprocessing of data from real and simulated production processes
  • Conception and implementation of machine learning and AI-based systems in production as well as in planning and development processes     
  • AI-based control and control of adaptive technical systems     
  • Adaptive user interfaces and web applications for analyzing and controlling technical systems

The research group "Production Technology" is dedicated to the topics around digitized production. The goals are to transfer concepts from information technology to production technology, to expand and to apply them in order to design and optimize production processes in the digital world under the special requirements of this application domain. The topics of the groups are designed holistically from the data source through the analysis to the feedback of the insights from the analysis to humans as well as to the machine.

An essential feature of the research group is its focus on real processes. This is achieved through close cooperation with a large network of industrial and research partners. In addition to classic scenarios such as the forecasting of product quality or predictive maintenance, the control of robotic systems by means of machine learning techniques and the integration of artificial intelligence into planning processes are implemented in order to make them flexible and robust for humans in the complex world of production.

Fotolia 126814305 S Mimi Potter


210917 Auto En Sys Pinzetten WKZ Copy Right KB Hein
AutoEnSys takes up the challenge and takes the first steps towards automated design for injection molding tools.
2021 – 2022
Cense Hanno Projekt
The IoP is based on the vision to enable a new level of cross-domain collaboration in the production context by providing semantically adequate and contextual data from production, development and usage in real time and adapted granularity.
2019 – 2026
DCN 6446
Scaled laser structuring and drying of lithium-ion batteries to enhance performance
2021 – 2023
Optimized cell finalization through innovative plant technology and parameter-based evaluation of process and quality parameters in the virtual production system
2021 – 2024
Pexels kindel media 7527911
Künstliche Intelligenz für Betrieb und Wartung von CSP-Kraftwerken
2021 – 2024
Ex Cluster D3
Development of a production system that can optimize itself in the current process and react to changing requirements
2006 – 2018
Production B 1
Design of an universal, extensible concept to create interoperability between heterogeneous simulation tools
2006 – 2018
I Prod
Learnable control of production systems based on artificial intelligence algorithms
2017 – 2020
Optimised production of compound semiconductors for increased efficiency in energy supply
2019 – 2021
Contact Dipl. Inform. Daniel LüttickeAbteilungsleiter Data Intelligence
D 2.21
+49 241 80 91152

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