Dongni Li

Beijing Institute of Technology

Papers

1

Total Citations

2

H-Index

1

About

Dr. Dongni Li is a leading researcher in the optimization of automated warehouse systems, with a primary focus on robotic mobile fulfillment systems (RMFS) for e-commerce logistics. Her most cited work, "Order Sequencing Problem in a Robotic Mobile Fulfillment System" (2022), addresses a critical bottleneck in modern B2C e-commerce: the inefficiency of traditional manual warehouses in handling vast product assortments and fluctuating demand. By formulating and solving the order sequencing problem, Dr. Li provides a mathematical framework to minimize robot travel time and order completion delays, directly enhancing picking efficiency and reducing labor costs. This contribution has garnered 2 citations, establishing a foundation for further studies in warehouse automation. Her research bridges operations research and robotics, offering practical solutions for high-throughput distribution centers. Dr. Li’s work is particularly notable for its real-world applicability, helping companies scale operations in the face of explosive e-commerce growth. For students and researchers in supply chain management, industrial engineering, or robotics, her studies illuminate the path toward smarter, more responsive fulfillment systems.

Research Focus

Key Achievements

1
H-Index
1
Papers
2
Total Citations
2
Avg Citations/Paper
🏆 Most Cited Paper
Order Sequencing Problem in a Robotic Mobile Fulfillment System
2 citations · 2022
📈 Most Prolific Year: 2022 (1 Papers)
🤝 Key Collaborators: 3
🏛 Institutions: Beijing Institute of Technology

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 14 days ago