Univ.-Prof. Dr.-Ing. Peter Burggräf

Bridging human expertise and machine learning in production management: a case study on ML-based decision support systems to prevent missing parts at assembly

_Enhancing Resource Efficiency And Monetization In Metal Recycling Through Supply Chain-Wide Digitalization: An Approach For Single-Variety Metal Stream Optimization And CO2 Reduction

gym-flp: A Python Package for Training Reinforcement Learning Algorithms on Facility Layout Problems

Deciding on when to change - a benchmark of metaheuristic algorithms for timing engineering changes

Machine learning implementation in small and medium-sized enterprises: insights and recommendations from a quantitative study

Towards Digital-Twin-Driven Factory Planning - A Systematic Review

Automatic Generation of Assembly Instructions by Analyzing Process Recordings - A Concept Overview

Integration of Autonomous Driving Functionalities for End-of-Line Production Transport Scenarios

Optimizing industrial transport with a connected automated vehicle demonstrator for assembly systems and end-of-line production

AI-artifacts in engineering change management - a systematic literature review

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