Zhijun Xu

Papers

Total Citations

H-Index

About

Zhijun Xu is a prominent researcher in operations management and logistics, with a focus on warehouse automation and robotic systems. His work centers on optimizing the efficiency of robotic mobile fulfillment systems (RMFS), which are critical to modern e-commerce and supply chain operations. In his most-cited paper, "Joint optimization of storage assignment and order batching in robotic mobile fulfillment system with dynamic storage depth and surplus items" (2024), Xu addresses a complex, real-world challenge: how to simultaneously assign storage locations and batch orders to minimize travel time and energy consumption, while accounting for dynamic storage depths and surplus inventory. This contribution is significant because it moves beyond traditional static models, offering a more adaptable and cost-effective solution for high-density warehouses. With 11 citations in a short time, his work is already gaining traction among practitioners and academics. Xu’s research bridges the gap between theoretical optimization and practical implementation, making him a key voice in the evolution of smart logistics. His achievements highlight a commitment to solving pressing industrial problems, positioning him as an emerging leader in the field of supply chain innovation.