Guofang Duan

University Town of Shenzhen, Tsinghua University

Papers

Total Citations

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About

Guofang Duan is a leading researcher in the design and optimization of Robotic Mobile Fulfilment Systems (RMFS), the backbone of modern e-commerce warehousing. Her work directly addresses the critical need for high-efficiency, scalable logistics in environments with rigid order completion times. Duan’s major contributions lie in advancing the theoretical and practical understanding of RMFS performance, particularly through her pioneering analysis of multi-deep compact layouts. While traditional studies focused on single-deep configurations, Duan’s research—including her highly cited 2021 paper "Modelling and analysis for multi-deep compact robotic mobile fulfilment system" (35 citations)—demonstrates how deeper storage can significantly improve space utilization and throughput as land costs rise. She further extends this work by modeling system performance under realistic, time-varying arrival patterns (30 citations), providing crucial insights for dynamic warehouse operations. Through her rigorous performance evaluations and layout innovations, Duan has provided the foundational models that enable warehouses to operate more punctually with fewer workers, solidifying her impact on the future of automated logistics.