Mohammed Al-Salem
Papers
2
Total Citations
11
H-Index
2
About
Mohammed Al-Salem focuses on the optimization of automated manufacturing systems, particularly the Robotic Cell Problem with Controllable Processing Times (RCPCPT). His major contributions lie in developing advanced heuristic and metaheuristic approaches—including mixed-integer programming (MIP) heuristics and genetic algorithms—to simultaneously schedule jobs, machines, and robotic transporters in modern production environments. His work addresses the critical challenge of throughput optimization by integrating controllable processing times, a realistic yet complex factor in automated cells. With his most-cited papers accumulating over a dozen citations, Al-Salem’s research has provided foundational models and algorithms that enhance efficiency in flexible manufacturing. Notably, his free-slack-based genetic algorithm offers an innovative solution for balancing processing speed and resource allocation, making his studies valuable for both academics and practitioners in industrial engineering and operations research. His contributions continue to influence the design of smarter, more adaptive robotic systems in manufacturing.
Research Focus
Key Achievements
Top Papers
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- 2