Hengle Qin

Shanghai University of Finance and Economics

Papers

1

Total Citations

63

H-Index

1

About

Hengle Qin is a leading operations researcher whose work bridges the gap between cutting-edge algorithms and real-world logistics at scale. His most influential research centers on the optimization of intelligent warehouse systems, particularly the use of operations research algorithms to coordinate fleets of autonomous robots. In his landmark 2022 paper, "JD.com: Operations Research Algorithms Drive Intelligent Warehouse Robots to Work," Qin details how JD.com—the company that pioneered same-day delivery in China—deployed advanced analytics to transform its fulfillment centers. This work, which has garnered 63 citations, demonstrates how mathematical modeling can solve the critical tension between surging consumer demand and the need for flawless logistics execution. By designing algorithms that enable robots to work in harmony with human pickers, Qin’s contributions have directly enabled JD.com to maintain its industry-leading service quality while scaling operations. His research stands as a prime example of how theoretical operations research can be translated into tangible, billion-dollar impacts, making him a key figure in the ongoing revolution of smart, automated supply chains.

Research Focus

Key Achievements

1
H-Index
1
Papers
63
Total Citations
63
Avg Citations/Paper
🏆 Most Cited Paper
JD.com: Operations Research Algorithms Drive Intelligent Warehouse Robots to Work
63 citations · 2022
📈 Most Prolific Year: 2022 (1 Papers)
🤝 Key Collaborators: 7
🏛 Institutions: Shanghai University of Finance and Economics

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 12 days ago