Univ.-Prof. Dr.-Ing. Peter Burggräf
Hybrid intelligence – systematic approach and framework to determine the level of Human-AI collaboration for production management use cases
Hybrid intelligence – systematic approach and framework to determine the level of Human-AI collaboration for production management use cases
Durability and Reliability of Sensors in Smart Steel IBCs: Results from the smart.CONSERVE Project
Durability and Reliability of Sensors in Smart Steel IBCs: Results from the smart.CONSERVE Project
Mega-casting in the automotive production system: Expert interview-based impact analysis of large-format aluminium high-pressure die-casting (HPDC) on the vehicle production
Mega-casting in the automotive production system: Expert interview-based impact analysis of large-format aluminium high-pressure die-casting (HPDC) on the vehicle production
Towards a Sustainable Industrial Society - Critical Capabilities for the Transformation to a Circular Economy in Manufacturing Companies
Towards a Sustainable Industrial Society - Critical Capabilities for the Transformation to a Circular Economy in Manufacturing Companies
Cyber-Physical Optimization of Production Processes Using Cascade AIs: A Robot-Guided MAG Welding Use-Case
Cyber-Physical Optimization of Production Processes Using Cascade AIs: A Robot-Guided MAG Welding Use-Case
Enhancing brewery logistics with smart kegs: A simulation study
Enhancing brewery logistics with smart kegs: A simulation study
Intelligent Order Release In Matrix-Structured Assembly Systems
Intelligent Order Release In Matrix-Structured Assembly Systems
Paving the way for automated factory planning - applying rule-based expert systems to capacity planning
Paving the way for automated factory planning - applying rule-based expert systems to capacity planning
Applications of machine learning in the brewing process: a systematic review
Applications of machine learning in the brewing process: a systematic review
Evaluating early predictive performance of machine learning approaches for engineering change schedule – A case study using predictive process monitoring techniques
Evaluating early predictive performance of machine learning approaches for engineering change schedule – A case study using predictive process monitoring techniques
Optimize existing structures and workflows: Using a real-time locating system (RTLS) to enhance cleanliness in modern production areas
Optimize existing structures and workflows: Using a real-time locating system (RTLS) to enhance cleanliness in modern production areas
Uncovering the behaviour of facility layout problem solutions in relation to factory design applications
Uncovering the behaviour of facility layout problem solutions in relation to factory design applications