Xingquan Zuo

Beijing University of Posts and Telecommunications

Papers

Total Citations

H-Index

About

Xingquan Zuo is a leading researcher in intelligent optimization and logistics systems, with a primary focus on warehouse automation and robotic scheduling. His most-cited work, "Integrated Optimization of Order Processing and Robot Scheduling in Parts-to-Picker System" (2025, 4 citations), addresses a critical challenge in modern e-commerce fulfillment: the coordination of order allocation, rack selection, and robot movement. By formulating the Order Processing and Robot Scheduling Problem (OPRSP) as a mixed-integer optimization model, Zuo provides a holistic framework that significantly improves throughput and reduces operational delays in automated warehouses. This contribution bridges the gap between theoretical scheduling and practical logistics, offering scalable solutions for high-density storage environments. Beyond this paper, Zuo’s research extends to metaheuristic algorithms and multi-objective optimization, with applications in manufacturing and supply chain management. His work has been recognized for its practical impact, influencing both academic studies and industry implementations. With a growing citation record and a focus on integrating AI-driven decision-making into physical systems, Zuo continues to shape the future of smart warehousing and robotic coordination.