Dongjun Cai

National University of Singapore

Papers

1

Total Citations

4

H-Index

1

About

Dongjun Cai is a researcher focused on advancing automation and operational efficiency in modern warehousing and logistics systems. His primary research areas include robotic compact storage and retrieval systems (RCSRS), robot dispatching optimization, and material handling automation. Cai’s major contribution lies in addressing the critical robot dispatching problem for grid-based RCSRS, which are increasingly adopted by global online retailers. By developing strategies that minimize robot empty travel time and reduce workstation idle time, his work directly enhances throughput and cost-effectiveness in high-density storage environments. His most cited paper, "Robot dispatching problem for compact storage and retrieval systems with dual-command transactions" (2023), has garnered 4 citations, reflecting its relevance to both academia and industry. This research is notable for tackling real-world operational bottlenecks in e-commerce fulfillment centers, offering practical solutions that bridge theoretical optimization and applied robotics. Cai’s work is particularly valuable for students and researchers interested in the intersection of logistics, automation, and intelligent systems, as it provides a foundation for further innovations in autonomous warehouse management.

Research Focus

Key Achievements

1
H-Index
1
Papers
4
Total Citations
4
Avg Citations/Paper
🏆 Most Cited Paper
Robot dispatching problem for compact storage and retrieval systems with dual-command transactions
4 citations · 2023
📈 Most Prolific Year: 2023 (1 Papers)
🤝 Key Collaborators: 4
🏛 Institutions: National University of Singapore

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 12 days ago