Foruzan Naseri
Papers
1
Total Citations
6
H-Index
1
About
Foruzan Naseri is a researcher whose work lies at the intersection of industrial engineering, robotics, and manufacturing optimization. Her primary research focus is on the analysis and enhancement of flexible robotic manufacturing systems, with a particular emphasis on output rate optimization. Naseri’s most cited work, "Applying Metaheuristic Algorithms for Output Rate Analysis in Two-Machine Robotic Manufacturing Cells" (2013, 6 citations), introduces novel computational approaches to maximize production efficiency in cells where flexible CNC machines handle multiple operations. This study is significant for its application of metaheuristic algorithms—such as genetic algorithms or simulated annealing—to solve complex scheduling and throughput problems in automated manufacturing environments. By modeling identical parts requiring diverse operations, Naseri’s research provides practical insights for improving productivity in real-world robotic cells. Her contributions are valuable for students and researchers exploring the intersection of artificial intelligence and manufacturing, offering a foundation for further studies in smart factory optimization and Industry 4.0 applications.
Research Focus
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Top Papers
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