Luke Pan

Papers

Total Citations

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About

Luke Pan is a rising expert in the optimization of robotic and intelligent warehouse systems, with a primary focus on the emerging field of parts-to-picker order fulfillment. His most cited work, "Storage Assignment Optimization in Robotic Mobile Fulfillment Systems" (2021, 27 citations), addresses a critical bottleneck in modern logistics: how to optimally assign inventory pods to storage locations in robotic mobile fulfillment systems (RMFS). Pan demonstrates that traditional storage assignment methods are inadequate for this new robot-driven paradigm, and his research provides novel optimization strategies that significantly improve system efficiency. His related work on road network optimization using improved genetic algorithms further advances the design of intelligent warehouse picking systems, tackling the complex layout and routing challenges posed by autonomous mobile robots. Though early in his career, Pan’s contributions are already shaping how warehouses transition from human-centric to robot-centric operations. His research sits at the intersection of operations research, industrial engineering, and robotics, offering practical solutions for the next generation of e-commerce and logistics automation.