Sven Groenemeyer

University of Nottingham

Papers

2

Total Citations

55

H-Index

2

About

Sven Groenemeyer is a leading researcher in operations research and combinatorial optimization, with a primary focus on scheduling and logistics in manufacturing systems. His work centers on the cyclic job-shop problem with transportation—a complex challenge that integrates machine sequencing, material handling, and repetitive production cycles. Groenemeyer’s major contributions include the development of a branch and bound algorithm (2012, 29 citations) and a mixed integer programming model (2012, 26 citations) for this problem, providing both exact and heuristic solutions that improve efficiency in automated manufacturing environments. These models are notable for their ability to handle the interplay between job scheduling and transportation resources, such as automated guided vehicles, which is critical for modern flexible manufacturing systems. His research has been cited by scholars working on related scheduling problems, demonstrating its impact on advancing the field. Groenemeyer’s work stands out for its rigorous mathematical formulation and practical applicability, making him a key figure in the optimization of cyclic production processes.

Research Focus

Key Achievements

2
H-Index
2
Papers
55
Total Citations
28
Avg Citations/Paper
🏆 Most Cited Paper
A branch and bound algorithm for the cyclic job-shop problem with transportation
29 citations · 2012
📈 Most Prolific Year: 2012 (2 Papers)
🤝 Key Collaborators: 2
🏛 Institutions: University of Nottingham

Top Papers

  1. 1
  2. 2

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago