Papers
3
Total Citations
43
H-Index
3
About
Jeongsun Ahn is a rising authority in the optimization of advanced manufacturing systems, with a particular focus on scheduling and control in semiconductor and flexible manufacturing environments. Her research addresses the critical challenge of efficiently managing complex, automated production lines—specifically cluster tools and flexible manufacturing systems (FMSs)—where transport robots, limited buffers, and small lot sizes create extreme computational difficulty. Ahn’s major contributions include developing a branch and bound algorithm for FMS scheduling (27 citations, 2023) and a novel mixed integer programming model using precedence relation-based decision variables for non-cyclic cluster tool scheduling (13 citations, 2024). Her 2025 work on analyzing conventional robot task sequences during lot switching periods (3 citations) further demonstrates her ongoing impact on real-world semiconductor manufacturing, where small lot sizes are increasingly prevalent. By creating rigorous optimization models and algorithms, Ahn is helping to enable the agility and efficiency demanded by modern, high-mix, low-volume production. Her work is essential reading for researchers and engineers tackling the NP-hard scheduling problems that underpin the next generation of automated manufacturing.
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