Papers
2
Total Citations
22
H-Index
2
About
Xinglu Liu is a leading researcher in warehouse logistics and automation, specializing in the design and optimization of Robotic Mobile Fulfillment Systems (RMFS). Her work focuses on the critical intersection of layout design and operational efficiency in modern, parts-to-picker storage environments. Liu’s major contributions include pioneering the study of picking station location in both traditional and innovative Flying-V aisle warehouses, developing integer programming models to solve these complex problems. She further advanced the field by investigating non-traditional layout designs for systems with multiple workstations, addressing a significant gap in the literature. Her research has garnered over 22 citations, establishing her as a key voice in the evolution of automated warehousing. By tackling the practical challenges of robot-driven fulfillment, Liu’s work directly informs the design of more efficient distribution centers, making her a vital contributor to the future of supply chain and logistics engineering.
Research Focus
Key Achievements
Top Papers
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