Papers
8
Total Citations
71
H-Index
5
About
Abdelghani Bekrar is a leading researcher at the intersection of robotics, manufacturing control, and optimization. His work primarily focuses on multi-agent robotic systems, intelligent scheduling, and advanced control theory. Bekrar has made significant contributions to the development of fixed-time fractional-order sliding mode control for nonholonomic mobile robots, ensuring robust stabilization under external disturbances—a breakthrough with 27 citations. He has also advanced the understanding of cooperative mechanisms in distributed manufacturing, providing a foundational literature review (9 citations) that bridges robotics and production systems. His research on two-stage flow shop scheduling with transportation constraints (13 citations) and energy-conscious dynamic job shop scheduling using multi-agent simulation (3 citations) addresses critical industrial challenges. Bekrar’s notable achievements include developing rule-based harmony search approaches for robotic assembly cells and exploring cyclic solutions in multi-robotic cells with processing time windows. With a portfolio spanning from theoretical complexity analysis to practical simulation-optimization methods, his work has shaped how autonomous systems coordinate in manufacturing environments. His contributions are essential reading for students and researchers in robotics, control engineering, and production optimization.
Research Focus
Key Achievements
Top Papers
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- 2A two-stage flow shop scheduling problem with transportation considerations13 citations · 2015
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- 6On the complexity of robotic flow shop with transportation constraints4 citations · 2014
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