Yuerong Chen

Huazhong University of Science and Technology

Papers

Total Citations

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About

Yuerong Chen is a leading researcher in the optimization of intralogistics and robotic sorting systems, with a focus on enhancing the efficiency of autonomous mobile robot (AMR) operations. Chen’s major contributions lie in developing mathematical models and algorithms to solve complex assignment problems within robotic sorting environments, particularly for parcel distribution and order fulfillment. Her most-cited work, "Assignment of parcels to loading stations in robotic sorting systems" (2022, 34 citations), provides foundational insights into balancing station workloads to minimize congestion and maximize throughput. Building on this, her 2024 study on assigning parcel destinations to drop-off points in congested systems (6 citations) addresses real-world bottlenecks, while her 2020 paper on order-to-workstation assignment (2 citations) integrates destination information to streamline operations. Chen’s research is pivotal for industries transitioning from manual to automated sorting, offering scalable solutions that reduce labor costs and improve system flexibility. Her work is widely referenced in operations research and logistics engineering, making her a key voice in the advancement of smart warehouse technologies.