Unplanned machine downtime causes high costs and emissions in the energy-intensive foundry industry. A joint research project between the FH Wiener Neustadt and the TU Wien is investigating how artificial intelligence can prevent such downtime and thus reduce the burden on the economy and the environment.
‘This project is a crucial step towards making industrial processes in the metal industry more resilient, efficient and environmentally friendly,’ emphasises Selim Erol, opens an external URL in a new window, project manager and head of the Institute for Industrial Engineering and Management, opens an external URL in a new window at FHWN.

AI-supported maintenance for sustainable production

The project is developing an intelligent system that optimises maintenance processes, reduces downtime and extends the service life of machine components. AI-based analyses and automatically generated recommendations for action are intended to enable maintenance to be carried out more precisely and quickly.

‘By combining state-of-the-art AI with domain-specific industrial knowledge, we are not only addressing immediate operational needs, but also contributing significantly to the establishment of the circular economy in Austrian manufacturing companies,’ says Principal Investigator Fazel Ansari, Head of the Production and Maintenance Management Research Group at TU Wien.

Further information can be found here, opens an external URL in a new window.