Mohamed Haouari
King Saud University, Tunisia Polytechnic School, Özyeğin University, Qatar University
Papers
4
Total Citations
67
H-Index
4
About
Mohamed Haouari is a leading figure in operations research and combinatorial optimization, with a focused expertise in the design and scheduling of robotic cells. His major contributions center on developing both heuristic and exact optimization methods to solve the complex robotic cell problem—a critical challenge in automated manufacturing where robots handle parts between machines. Haouari’s work bridges theory and practice: his 2009 optimization-based heuristic, cited 43 times, provides efficient solutions for real-world layouts, while his exact methods (2010–2011) offer provably optimal schedules for smaller, high-precision systems. He further advanced the field by integrating controllable processing times with a free-slack-based genetic algorithm (2016), allowing for dynamic adjustments in production speed. With over 60 citations across his most-cited papers, Haouari’s research has directly influenced the efficiency of flexible manufacturing systems. His achievements include pioneering exact approaches that set benchmarks for robotic cell scheduling, making his work essential reading for researchers and engineers seeking to optimize automation in Industry 4.0 environments.
Research Focus
Key Achievements
Top Papers
- 1An optimization-based heuristic for the robotic cell problem43 citations · 2009
- 2Exact Method for Robotic Cell Problem10 citations · 2010
- 3Exact methods for the robotic cell problem9 citations · 2011
- 4