Canrong Zhang

University Town of Shenzhen, Tsinghua University

Papers

Total Citations

H-Index

About

Canrong Zhang is a leading authority in operations research and logistics, with a focused expertise in warehouse automation and robotic mobile fulfillment systems (RMFS). His work addresses critical challenges in high-density storage environments, where efficiency and scalability are paramount. Zhang’s major contributions include pioneering simulation-based performance evaluations of RMFS, demonstrating how robotic fleets can optimize order picking and inventory management under dynamic, time-varying demand. His 2021 study on high-density storage warehouses, cited 32 times, provides foundational insights into system throughput and robot coordination, while his subsequent work on time-varying arrivals (30 citations) advances real-time adaptability in automated warehouses. These studies are instrumental for practitioners designing next-generation fulfillment centers and for researchers modeling complex logistics networks. Zhang’s research bridges theoretical modeling and practical implementation, earning recognition for its direct impact on e-commerce and supply chain efficiency. His work is essential reading for students and engineers seeking to understand the operational dynamics of robotic warehouses and the future of automated logistics.