Research & industry transfer
The IPEM Chair at the University of Siegen sees itself as a reliable and competent partner and service provider for the manufacturing industry with the aim of driving forward the digital transformation in South Westphalia and beyond. To this end, we offer you the opportunity to collaborate directly in individual planning and consulting projects as well as in publicly funded research projects. We contribute our expertise in a targeted manner to the joint development of solutions. To ensure that the manufacturing industry can also regularly participate in the latest research developments, there is also the opportunity to actively participate in one of our working groups. The Best Practice Circle Production and the Innovation Circle: Digital Business Models create a platform for intensive exchange, content-related impulses, the discussion of selected issues and the network for further cooperation. We also offer a wide range of training courses to prepare you and your employees for the challenges of tomorrow.
You can find more information on the SDFS website.
Publications
Current publications
Industrial challenges and needs for service integration in the context of factory planning,Herausforderungen und Bedarfe für eine Service-Integration Servitisierung im Rahmen der Fabrikplanung
Industrial challenges and needs for service integration in the context of factory planning,Herausforderungen und Bedarfe für eine Service-Integration Servitisierung im Rahmen der Fabrikplanung
Sustainability means future viability,Nachhaltigkeit bedeutet Zukunftsfähigkeit
Sustainability means future viability,Nachhaltigkeit bedeutet Zukunftsfähigkeit
A systematic approach towards mastering complexity through hybrid assembly planning
A systematic approach towards mastering complexity through hybrid assembly planning
Enabling automated checking of information in factory planning with ontologies - a case study
Enabling automated checking of information in factory planning with ontologies - a case study
Reinforcement Learning for Process Time Optimization in an Assembly Process Utilizing an Industry 4.0 Demonstration Cell
Reinforcement Learning for Process Time Optimization in an Assembly Process Utilizing an Industry 4.0 Demonstration Cell
Adaptive Remanufacturing
Adaptive Remanufacturing
Green factories: Measures for a new direction – How the drive for enhanced sustainability is changing factory planning-part 2,Wie das Streben nach mehr Nachhaltigkeit die Fabrikplanung verändert – Teil 2 Green Factories: Maßnahmen zur Neuausrichtung
Green factories: Measures for a new direction – How the drive for enhanced sustainability is changing factory planning-part 2,Wie das Streben nach mehr Nachhaltigkeit die Fabrikplanung verändert – Teil 2 Green Factories: Maßnahmen zur Neuausrichtung
Risk Assessment in Factory Planning Projects – An Empirical Evaluation of Industrial Practice
Risk Assessment in Factory Planning Projects – An Empirical Evaluation of Industrial Practice
Agent-based Order Release In Matrix-Structured Assembly Systems
Agent-based Order Release In Matrix-Structured Assembly Systems
Network-based factory planning for small and medium-sized enterprises
Network-based factory planning for small and medium-sized enterprises
Uncertainty and Changeability in Manufacturing Equipment Planning
Uncertainty and Changeability in Manufacturing Equipment Planning
Concept of a Multi-Agent System for Optimised and Automated Engineering Change Implementation
Concept of a Multi-Agent System for Optimised and Automated Engineering Change Implementation
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