Xiangpei Hu
Papers
6
Total Citations
158
H-Index
5
About
Xiangpei Hu is a leading operations research scholar whose work centers on the optimization of automated warehouse systems, particularly Robotic Mobile Fulfillment Systems (RMFSs). His research tackles some of the most pressing logistical challenges in modern e-commerce and supply chain management, developing sophisticated mathematical models and algorithms to enhance warehouse efficiency at scale. Hu's most celebrated contribution — "Order Picking Optimization with Rack-Moving Mobile Robots and Multiple Workstations" (2021, 67 citations) — introduced an integrated model that simultaneously addresses order sequencing, rack retrieval, and workload balancing across multiple workstations, achieving a remarkable 62% reduction in unnecessary rack movements. This work established a benchmark for subsequent research in the field. His follow-on studies on rack retrieval and repositioning (34 citations) and storage assignment optimization (28 citations) have further refined how robotic warehouses can be intelligently structured and managed. More recently, Hu has expanded his lens to include sustainability, examining carbon emissions in rack-climbing robotic warehouses — a timely contribution as the logistics industry faces growing environmental scrutiny. With over 150 cumulative citations across his portfolio, Hu's research has meaningfully shaped how academics and industry practitioners approach the design and operation of next-generation automated fulfillment centers.
Research Focus
Key Achievements
Top Papers
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