"This site requires JavaScript to work correctly"

Prof. Dr.-Ing. Sebastian Grundstein, MBA

Professor

Professor for Cyberphysical Production Systems

DMS C114

09971/99673-62


consulting time

On demand


Sortierung:

labs

IT-Laboratory / Lean Digital / Production Simulation


Forschungs- und Lehrgebiete

  • Smart Factory & Cyberphysical Production Systems
  • Production Data Management / Applied AI in Production
  • ERP / MES / IIoT
  • Simulation & Optimization in Production
  • Business Planning


Vita

  • 03/24 - dato: Professor at the Deggendorf Institute of Technology
  • 05/17 - 02/24: Partner at ROI-EFESO Management Consulting AG
  • 11/12 - 05/17: Doctoral student in the “Production Engineering” department at the University of Bremen; partly active at BIBA - Bremer Institut für Produktion und Logistik GmbH; degree: Dr.-Ing.
  • 07/13 - 06/16: Part-time study program “General Management” at the HFH; Degree: Master of Business Administration (MBA)
  • 10/07 - 09/12: Studied “Mechanical Engineering & Management” at the Faculty of Mechanical Engineering at the Technical University of Munich; Degree: Dipl.-Ing. Univ,


Other

Current thesis fields in the labs:

  • A generic simulation model for digital factory twins (Anylogic)
  • Digital Shopfloor Management Framework and Pilot Implementation
  • Impact of generative AI on traditional business models – A case study across selected industries
  • A use case based reference model for cloud architectures with a pilot implementation of ML-based visual inspection
  • AI-based material replenishment - beyond Kanban 4.0
  • Pilot implementation of an I4.0 learning factory for the process industry
  • A learning factory for AI experience
  • Development of a VR-based training concept
  • Implementation and evaluation of an AR-supported assembly process
  • Potentials of 3D-laserscanning in Quality Control with pilot implementation in assembly
  • A case study using NVIDIA Omniverse in factory simulation
  • Evaluation framework & pilot for Agent-based RPA implementation
  • Coupling of cobot automation and visual quality control in a pilot process
  • Applied Process Mining in Manufacturing
  • AI-based variant configuration - concept & pilot implementation