Univ.-Prof. Dr.-Ing. Peter Burggräf

Deep reinforcement learning for layout planning - An MDP-based approach for the facility layout problem

Smart Containers-Enabler for More Sustainability in Food Industries?

“ReLIFE”: Business Models for Data- Based Remanufacturing: AdaptiveRemanufacturing for LifeCycle Optimisation ofNetworked CapitalGoods

A novel machine learning model for predicting late supplier deliveries of low-volume-high-variety products with application in a German machinery industry

Sustainability of Factories in Urban Surroundings Enabled by a Space Efficiency Approach

Adaptive Remanufacturing - Decision Model for the Intelligent Maintenance of Production Resources

Life Cycle Assessment for Adaptive Remanufacturing: incorporating ecological considerations into the planning of maintenance activities - a case study in the German heavy machinery industry

Sensitivity analysis of specific metrics for automated evaluation of layout changeability

Application of a Digital Twin for Proactive Production Planning

Green-Factories: A framework of recommended actions – How the drive for enhanced sustainability is changing factory planning,Green Factories: Ein Ordnungs-rahmen als Wegweiser

Scalable factory and production concept for the production of water electrolysers,Digitale Fabrikplanung als Befähiger zur Erreichung der Klimaziele

Conceptualization Of The Use Of Artificial Intelligence For Interdependencies Analysis In Requirements Engineering