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

4
H-Index
4
Papers
67
Total Citations
17
Avg Citations/Paper
🏆 Most Cited Paper
An optimization-based heuristic for the robotic cell problem
43 citations · 2009
📈 Most Prolific Year: 2009 (1 Papers)
🤝 Key Collaborators: 5
🏛 Institutions: King Saud University, Tunisia Polytechnic School, Özyeğin University, Qatar University

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 14 days ago