Xiying Yang
Papers
3
Total Citations
67
H-Index
2
About
Dr. Xiying Yang is a leading researcher in logistics and warehouse automation, with a primary focus on optimizing robotic mobile fulfilment systems (RMFS), such as those used in KIVA warehouses. Her work addresses the critical challenge of coordinating order sequencing and rack scheduling to maximize efficiency in real-time, multi-station environments. Dr. Yang’s most influential contribution is her 2021 paper on the joint optimization of order sequencing and rack scheduling, which has garnered 61 citations and is considered a foundational study in the field. She has further advanced this area by exploring integrated order assignment and station scheduling, demonstrating how to synchronize order and rack processing flows across multiple stations to reduce delays and improve throughput. Her research is highly practical, directly informing the design of smarter, more responsive warehouse management systems. With a growing citation record and a reputation for solving complex, real-time logistics problems, Dr. Yang is recognized as a key innovator in the intersection of operations research and robotics, shaping the future of e-commerce fulfilment.
Research Focus
Key Achievements
Top Papers
- 1
- 2Joint optimization of order- and rack-scheduling in KIVA picking systems4 citations · 2025
- 3