Forschung

Forschungsprojekt

Increasing energy efficiency and productivity in manufacturing: an AI-enhanced simulation-based multi-objective optimisation approach

Forschungsinteressen

  • Digital twin–based energy modelling of manufacturing systems
  • Discrete event simulation for production system analysis
  • AI and data analytics for manufacturing optimisation
  • Sustainable manufacturing and energy efficiency
  • Life cycle assessment of manufacturing systems
  • Advanced manufacturing processes

Finanzierung

Auszeichnungen

  • Swinburne University Postgraduate Research Award (Swinburne 2025)

Ole Preisig

M.Eng.

externer Doktorand

Verlinkungen

LinkedIn