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Proactive Error Avoidance in Production through Machine Learning

The aim of the project is to avoid production errors using methods from the field of "machine learning". In doing so it will be focusing on increasing the level of automation in the development and maintenance of particular models in order to make operational deployment feasible.

Financing by the Federal Ministry means that 2 research positions have been created for the project.

Project partners
  • Furtwangen University
  • Sick AG
Funding

The project is funded by the Federal Ministry of Education and Research (BMBF) as part of the FHprofUnt funding line in the Research at Universities of Applied Sciences programme. Funding reference: 13FH249PX6

 

  • Federal Ministry of Education and Research (BMBF)
  • Research at universities

Your key contacts

I'm happy to provide information about this project

Prof. Dr. Holger Ziekow
Prof. Dr. Holger Ziekow Dean of Studies:
International Business Information Systems (BSc) (IBS)
Business Consulting (MSc) (BCM)
Artificial Intelligence and Data Science for Digital Business Management (MSc) (AIM)
+49 7723 920-2583 Mail Holger.Ziekow@hfu.eu
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