Guowei Hua
Papers
4
Total Citations
81
H-Index
3
About
Guowei Hua is a leading researcher in logistics and warehouse automation, with a primary focus on optimizing robotic mobile fulfilment systems—the technology behind modern, robot-driven warehouses like those used by KIVA (Amazon Robotics). His work addresses the complex, real-time challenges of coordinating order sequencing, rack scheduling, and station assignment in these high-density fulfilment centers. Hua’s most cited paper, “Joint optimization of order sequencing and rack scheduling in the robotic mobile fulfilment system” (2021, 61 citations), provides foundational models that improve throughput and reduce robot idle time. He has extended this research to multi-station environments and developed pricing strategies for logistics robot sharing platforms, a key enabler of the sharing economy. By tackling the interlinked decisions of order allocation, rack movement, and station sequencing—problems that must be solved in real time—Hua’s contributions help make e-commerce fulfilment faster, more efficient, and more scalable. His work is essential reading for anyone interested in the operational research behind smart warehousing and autonomous logistics.
Research Focus
Key Achievements
Top Papers
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- 3Joint optimization of order- and rack-scheduling in KIVA picking systems4 citations · 2025
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