Anqiang Huang

Papers

Total Citations

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About

Anqiang Huang is a leading researcher in logistics and supply chain optimization, with a primary focus on robotic mobile fulfilment systems (RMFS) and warehouse automation. His most cited work, "Joint optimization of order sequencing and rack scheduling in the robotic mobile fulfilment system" (2021, 61 citations), addresses a critical challenge in e-commerce warehousing: coordinating robot movements and order processing to minimize delays. By developing a novel mathematical model and solution algorithm, Huang demonstrated how simultaneous optimization of these interdependent tasks can significantly improve throughput and reduce operational costs. This research has direct implications for companies like Amazon and Alibaba, where RMFS efficiency is paramount. Beyond this seminal paper, Huang’s broader contributions span intelligent scheduling, resource allocation, and the integration of AI in material handling systems. His work is widely recognized for bridging theoretical optimization with practical industrial applications, earning him citations from scholars in operations research, industrial engineering, and robotics. Huang’s research not only advances academic understanding but also provides actionable strategies for modernizing supply chains, making him a key figure in the evolution of smart logistics.