Kyung Sung Jung

Papers

Total Citations

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About

Kyung Sung Jung is a leading researcher in the optimization of automated manufacturing systems, with a primary focus on robotic cell scheduling and throughput analysis. His work addresses critical challenges in production efficiency, particularly in the design and operation of circular robotic cells. Jung’s major contributions include developing optimal and near-optimal sequencing strategies for both single-gripper and dual-gripper robotic cells, where he has advanced the understanding of how to maximize throughput under complex constraints like additive travel times and free-pickup criteria. His most cited paper, "Throughput Optimization in Circular Dual‐Gripper Robotic Cells" (2017), with 14 citations, provides key insights into the productivity advantages of dual-gripper configurations over traditional single-gripper systems. Another influential work, "Approximations to optimal sequences in single-gripper and dual-gripper robotic cells with circular layouts" (2014, 13 citations), offers practical approximation algorithms that bridge the gap between theoretical optimality and real-world applicability. Jung’s research is highly valued by both academics and practitioners in industrial engineering, as it directly informs the design of more efficient, high-throughput manufacturing systems. His work continues to shape the future of automated production and robotics.