LU Xian-feng

Papers

Total Citations

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About

Dr. Lu Xian-feng is a leading researcher in intelligent logistics and automated warehouse systems, with a primary focus on optimizing robotic mobile fulfillment systems (RMFS). His most-cited work, "An automated guided vehicle conflict-free scheduling approach considering assignment rules in a robotic mobile fulfillment system" (2022, 34 citations), addresses a critical challenge in modern e-commerce and warehousing: the efficient, collision-free coordination of autonomous guided vehicles (AGVs). Dr. Lu’s major contribution lies in developing scheduling algorithms that integrate assignment rules to prevent vehicle conflicts, thereby improving throughput and operational safety in high-density robotic environments. This work has direct implications for companies like Amazon and Alibaba, which rely on such systems for order fulfillment. With 34 citations in just two years, his research is rapidly gaining recognition for its practical impact on supply chain automation. Dr. Lu’s expertise bridges operations research, robotics, and industrial engineering, making him a key voice in the evolution of smart warehouses. His ongoing work continues to explore how real-time data and AI can further enhance the agility and reliability of automated material handling systems.