Guowei Hua

Beijing Jiaotong University

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

3
H-Index
4
Papers
81
Total Citations
20
Avg Citations/Paper
🏆 Most Cited Paper
Joint optimization of order sequencing and rack scheduling in the robotic mobile fulfilment system
61 citations · 2021
📈 Most Prolific Year: 2021 (2 Papers)
🤝 Key Collaborators: 8
🏛 Institutions: Beijing Jiaotong University

Top Papers

  1. 1
  2. 2
    14 citations
  3. 3
  4. 4

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago