Martin Grunow

Technical University of Munich

Papers

2

Total Citations

24

H-Index

2

About

Martin Grunow is a leading researcher in production and operations management, with a primary focus on the scheduling and optimization of advanced manufacturing systems, particularly robotic cells. His work is distinguished by addressing the complex interplay between automation, uncertainty, and maintenance in high-tech industries like semiconductor manufacturing. A major contribution is his pioneering integration of preventive maintenance and shutdown scheduling with production scheduling for robotic cells, a first in the field. This approach strategically leverages periods of overcapacity to reduce equipment wear and tear, directly impacting operational efficiency and cost. His research also tackles the challenge of uncertainty in robotic operations, developing robust scheduling models for dual-gripper cells with uncertain processing times. With key papers each garnering over a dozen citations, Grunow's work is foundational for practitioners and scholars seeking to optimize the reliability and throughput of automated production lines. His insights are particularly vital as industries increasingly deploy robots for complex, uncertain tasks.

Research Focus

Key Achievements

2
H-Index
2
Papers
24
Total Citations
12
Avg Citations/Paper
🏆 Most Cited Paper
Robotic-cell scheduling with pick-up constraints and uncertain processing times
12 citations · 2019
📈 Most Prolific Year: 2019 (1 Papers)
🤝 Key Collaborators: 2
🏛 Institutions: Technical University of Munich

Top Papers

  1. 1
  2. 2

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago