Yanling Zhuang
Papers
3
Total Citations
129
H-Index
3
About
Dr. Yanling Zhuang is a leading researcher in the optimization of robotic mobile fulfillment systems (RMFS), with a focus on transforming warehouse logistics through intelligent automation. Her work centers on three critical, interconnected challenges: order picking optimization, rack management, and storage assignment. Dr. Zhuang’s major contributions include developing an integrated model for multi-workstation order and rack sequencing that simultaneously balances workloads and prevents rack conflicts—a breakthrough that reduces rack movements by approximately 62% compared to conventional methods. Her subsequent research on rack retrieval and repositioning, along with storage assignment strategies, further refines system efficiency. With her most-cited paper (2021) garnering 67 citations and a growing body of work accumulating over 129 citations, Dr. Zhuang’s impact is both immediate and sustained. Her hybrid optimization approaches, benchmarked against existing methods, provide a practical, data-driven roadmap for next-generation e-commerce and logistics centers. For students and researchers, her work exemplifies how operations research and industrial engineering can directly solve real-world scalability and efficiency problems.
Research Focus
Key Achievements
Top Papers
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