Ganiyat Salawu
Papers
2
Total Citations
8
H-Index
2
About
Dr. Ganiyat Salawu is a researcher focused on the intersection of operations research and advanced manufacturing, with key contributions in queueing theory and robotics systems. Her work addresses critical bottlenecks in production environments, particularly through the mathematical modelling of waiting lines and throughput optimization. In her most cited paper, "PERFORMANCE OPTIMISATION ON WAITING TIME USING QUEUEING THEORY IN AN ADVANCED MANUFACTURING ENVIRONMENT" (6 citations), she demonstrates how queueing theory can systematically reduce delays that plague manufacturing workflows, providing managers with a powerful analytical tool to enhance efficiency. Her subsequent work, "Mathematical Modelling and Simulation of Throughput in a Robotics Manufacturing System" (2 citations), extends this analysis to robotic pick-and-place tasks, offering classical models to help manufacturers achieve optimal throughput when deploying automation for complex operations. While her citation counts reflect an emerging career, Salawu’s focus on practical, mathematically rigorous solutions to real-world manufacturing challenges—from waiting time reduction to robotic task optimization—positions her as a promising voice in industrial engineering. Her research is particularly valuable for students and practitioners seeking to bridge theoretical queueing models with tangible improvements in advanced manufacturing environments.
Research Focus
Key Achievements
Top Papers
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