Univ.-Prof. Dr.-Ing. Peter Burggräf

Artificial Intelligence in Production Management A review of the current state of affairs and research trends in academia

Data quality-based process enabling: Application to logistics supply processes in low-volume ramp-up context

Artificial intelligence in production management: A review of the current state of affairs and research trends in academia

Return on CPS (RoCPS): An Evaluation Model to Assess the Cost Effectiveness of Cyber-Physical Systems for Small and Medium-Sized Enterprises

Data Quality-Based Process Enabling Application to logistics supply processes in low-volume ramp-up context

Digital Transformation of Lean Production

Agile Low-Cost Montage

Flexibility through mobility: the e-mobile assembly of tomorrow

Technology Planning and Evaluation of Planning Processes During Product Ramp-Up

Low-invest production for start-ups through cooperative production structures

Development of Industry Sector Specific Factory Standards

Kooperation in der Produktionssteuerung 4.0