Papers

2

Total Citations

9

H-Index

2

About

David Wenzel’s research focuses on the optimization of automated production systems, with a particular emphasis on industrial robotics and scheduling in complex manufacturing environments. His work addresses critical challenges in minimizing cycle times and improving efficiency in robot-based production lines, especially within the automotive industry. Wenzel’s most cited paper, “How to minimize cycle times of robot manufacturing systems” (2020, 6 citations), provides practical strategies for reducing operational delays and enhancing productivity in high-stakes manufacturing settings. In a related contribution, “Periodic Event Scheduling for Automated Production Systems” (2021, 3 citations), he tackles the intricate problem of optimizing periodic schedules for fully specified robot operations, offering a systematic approach to synchronizing trajectories and waiting points. Though early in his citation impact, Wenzel’s work is notable for its direct applicability to real-world industrial challenges, bridging the gap between theoretical scheduling models and practical implementation. His research is particularly valuable for engineers and researchers seeking to streamline automated workflows, reduce downtime, and boost throughput in modern production plants.

Research Focus

Key Achievements

2
H-Index
2
Papers
9
Total Citations
5
Avg Citations/Paper
🏆 Most Cited Paper
How to minimize cycle times of robot manufacturing systems
6 citations · 2020
📈 Most Prolific Year: 2020 (1 Papers)
🤝 Key Collaborators: 2
🏛 Institutions: Deutsches Zentrum für Luft- und Raumfahrt e. V. (DLR)

Top Papers

  1. 1
  2. 2

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago