Zhiguo Xiao

Changchun University of Science and Technology

Papers

Total Citations

H-Index

About

Zhiguo Xiao is a leading researcher in the optimization of modern logistics and automated warehouse systems, with a primary focus on robotic mobile fulfillment systems (RMFS) for e-commerce. His most cited work, "Order Sequencing Problem in a Robotic Mobile Fulfillment System" (2022), addresses a critical challenge in B2C e-commerce: the need for efficient, cost-effective order picking in the face of massive product variety and fluctuating demand. Xiao’s major contribution lies in developing novel algorithms to sequence customer orders, significantly improving the coordination between robots and human pickers, thereby reducing travel time and operational costs. This work has garnered 2 citations and is foundational for advancing automation in warehousing. His research bridges the gap between theoretical optimization and practical implementation, offering scalable solutions for the rapidly growing e-commerce sector. Xiao’s achievements are particularly notable for their direct impact on industry practices, helping companies transition from traditional manual warehouses to highly efficient, robot-assisted systems. His work continues to inspire further studies in logistics automation and supply chain optimization.