Chenhao Ren

Zhejiang University of Technology, Zhejiang University of Science and Technology

Papers

Total Citations

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About

Dr. Chenhao Ren is a leading researcher in the field of intelligent logistics and warehouse automation, with a primary focus on robotic mobile fulfillment systems (RMFS). His work addresses critical challenges in modern e-commerce and supply chain operations, particularly the efficient coordination of automated guided vehicles (AGVs) and storage optimization. Dr. Ren’s most cited paper, "An automated guided vehicle conflict-free scheduling approach considering assignment rules in a robotic mobile fulfillment system" (2022, 34 citations), introduces a novel scheduling framework that eliminates vehicle conflicts while optimizing task assignment—a foundational contribution to real-time warehouse robotics. Building on this, his 2024 study on "Joint optimization of storage assignment and order batching in robotic mobile fulfillment system with dynamic storage depth and surplus items" (11 citations) pioneers a holistic approach that simultaneously improves storage density and picking efficiency, addressing a long-standing trade-off in RMFS design. His work is notable for integrating dynamic storage strategies with order batching, offering practical solutions for high-throughput warehouses. With a growing citation record, Dr. Ren’s research is shaping the next generation of autonomous logistics systems, making him a key voice in industrial engineering and robotics.