Zhe Yuan
Papers
3
Total Citations
245
H-Index
3
About
Zhe Yuan is a leading researcher in the field of logistics and supply chain engineering, with a primary focus on the design and optimization of robotic mobile fulfilment systems (RMFS) for online retail. Yuan’s major contributions lie in developing analytical models and operational rules that dramatically improve the efficiency of automated warehouses. In their highly cited 2017 work (126 citations), Yuan challenged the conventional random assignment of workstations to robots, instead proposing a novel assignment rule based on workstation handling speeds, which significantly boosts system throughput. Complementing this, Yuan’s 2017 study on “Bot-In-Time Delivery” (104 citations) used queueing network models to optimize the flow of robots transporting shelves to pickers, directly addressing the critical challenge of reducing delivery times in e-commerce fulfillment. This body of work has been instrumental in transitioning warehouses from manual picking to sustainable, high-productivity robotic systems. Yuan’s research, supported by the China Scholarship Council and Chutian Scholarship, provides essential design rules for the next generation of green, automated distribution centers, making them faster, more cost-effective, and more responsive to consumer demand.
Research Focus
Key Achievements
Top Papers
- 1Assignment rules in robotic mobile fulfilment systems for online retailers126 citations · 2017
- 2Bot-In-Time Delivery for Robotic Mobile Fulfillment Systems104 citations · 2017
- 3