Qingte Zhou

Papers

Total Citations

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About

Qingte Zhou is a leading researcher in operations research and logistics, with a primary focus on warehouse optimization and robotic fulfillment systems. His most cited work, "Picking Station Location in Traditional and Flying-V Aisle Warehouses for Robotic Mobile Fulfillment System" (2018, 13 citations), addresses a critical gap in the design of parts-to-picker storage systems. Zhou developed an integer programming model to determine optimal picking station locations, significantly improving efficiency in robotic mobile fulfillment systems—a cornerstone of modern e-commerce logistics. This contribution is particularly notable as it moves beyond traditional warehouse layouts to explore innovative configurations like the Flying-V aisle design. Zhou’s research bridges theoretical optimization and practical warehouse management, offering actionable insights for reducing travel time and increasing throughput. His work has been cited by scholars and practitioners alike, underscoring its impact on the evolving field of automated warehousing. By tackling underexplored problems in facility location and robotic integration, Zhou continues to shape the future of supply chain operations.