Lu Zhen
Papers
7
Total Citations
84
H-Index
4
About
Lu Zhen is a prominent researcher specializing in warehouse automation, robotics-driven logistics optimization, and intelligent fulfillment systems. His work sits at the intersection of operations research and industrial engineering, with a particular focus on transforming how modern e-commerce warehouses operate through advanced scheduling and optimization methodologies. Zhen's most significant contributions center on Robotic Mobile Fulfillment Systems (RMFS), where he has tackled complex, real-world challenges involving the simultaneous coordination of orders, robots, and storage pods alongside human workstations. His highly cited papers — including "How to Deploy Robotic Mobile Fulfillment Systems" and "Order Picking Optimization in a Robotic Mobile Fulfillment System," each accumulating 25 citations — have established foundational frameworks for operational decision-making in automated warehouses. His 2024 work on joint optimization of order picking and replenishment further advances the field by addressing interdependencies often overlooked in earlier research. More recently, Zhen has expanded his scope to Autonomous Mobile Robots (AMRs) in conventional warehouse settings, demonstrating practical pathways for reducing picker walking distances and boosting throughput. With a growing body of work accumulating over 80 citations in just a few years, Zhen's research offers valuable theoretical and applied insights for students and practitioners navigating the rapidly evolving landscape of smart logistics and warehouse automation.
Research Focus
Key Achievements
Top Papers
- 1How to Deploy Robotic Mobile Fulfillment Systems25 citations · 2023
- 2Order picking optimization in a robotic mobile fulfillment system25 citations · 2022
- 3Optimizing Warehouse Operations with Autonomous Mobile Robots14 citations · 2025
- 4
- 5How to deploy robotic mobile fulfillment systems4 citations · 2022
- 6Column generation for scheduling mobile composite robots in warehouses2 citations · 2024
- 7