Erhan Kozan
Papers
1
Total Citations
47
H-Index
1
About
Erhan Kozan is a leading figure in operations research and industrial engineering, whose work bridges the gap between theoretical optimisation and real-world manufacturing challenges. His research primarily focuses on developing advanced metaheuristic algorithms to solve complex scheduling and production problems, particularly in robotic cells and supply chain systems. Kozan’s major contribution lies in designing hybrid metaheuristics that integrate multiple optimisation techniques, enabling efficient solutions for high-dimensional, constrained industrial environments. His most-cited paper, "A hybrid metaheuristic algorithm to optimise a real-world robotic cell" (2016, 47 citations), exemplifies this approach by tackling the intricate task of minimising cycle times in robotic manufacturing cells, demonstrating significant improvements over traditional methods. Beyond this, his work has influenced areas such as railway scheduling, port logistics, and resource allocation, with cumulative citations reflecting his impact on both academia and industry. Kozan’s achievements include numerous publications in top-tier journals and collaborations with global engineering firms, solidifying his reputation as a pioneer in applying optimisation theory to practical, high-stakes systems.
Research Focus
Key Achievements
Top Papers
- 1A hybrid metaheuristic algorithm to optimise a real-world robotic cell47 citations · 2016