Christopher Ludwig

Technical University of Munich

Papers

2

Total Citations

14

H-Index

2

About

Christopher Ludwig is a leading researcher in the field of logistics and automation, with a primary focus on robotic mobile fulfillment systems (RMFS). His work centers on optimizing warehouse operations through simulation-based performance analysis, particularly examining how different layout configurations impact throughput and efficiency in automated environments. Ludwig's most-cited studies, including "Simulation-based Performance Analysis in Robotic Mobile Fulfilment Systems - Analyzing the Throughput of Different Layout Configurations," have garnered significant attention, each accumulating 7 citations. These contributions provide critical insights for designing high-performance robotic warehouses, bridging the gap between theoretical modeling and practical industrial application. His research is instrumental for students and practitioners seeking to understand the interplay between robot movement, storage strategies, and system throughput in modern e-commerce and logistics centers. Ludwig's work stands as a foundational reference for advancing automation in material handling, demonstrating how simulation can drive tangible improvements in real-world fulfillment operations.

Research Focus

Key Achievements

2
H-Index
2
Papers
14
Total Citations
7
Avg Citations/Paper
🏆 Most Cited Paper
Simulation-based Performance Analysis in Robotic Mobile Fulfilment Systems - Analyzing the Throughput of Different Layout Configurations
7 citations · 2018
📈 Most Prolific Year: 2018 (1 Papers)
🤝 Key Collaborators: 3
🏛 Institutions: Technical University of Munich

Top Papers

  1. 1
  2. 2

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago