Josef Ressel Centre

Robust Decision Making

In the era of digitalisation, companies collect vast amounts of data, yet leveraging it for informed decision-making remains challenging. The JRC develops tailoured AI methods, focusing on robust machine learning and optimisation to reduce uncertainties and enable reliable, goal-oriented decisions.

In collaboration with industry and financial partners – including Hirschmann Automotive, Hypo Vorarlberg Bank, proTASK Consulting, and myPEX – an interdisciplinary team addresses practical challenges such as:

• Process capability analysis for injection moulding

• Robust production scheduling

• ESG impact assessments on company valuations

• Data-driven stress test simulations and robust risk models

• Algorithmic optimisation strategies
  
  

Key Outputs:

• Custom prototype solutions for practical applications

• Knowledge and technology transfer to corporate partners

• Contributions to basic research and scientific publications

• Doctoral theses in collaboration with international universities