Guoli Zhao

Papers

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About

Guoli Zhao is a leading researcher in logistics and supply chain optimization, with a particular focus on robotic mobile fulfillment systems (RMFS) and warehouse operations. Their work addresses critical challenges in e-commerce and automated warehousing, where efficiency and scalability are paramount. Zhao’s most-cited paper, "Joint optimization of storage assignment and order batching in robotic mobile fulfillment system with dynamic storage depth and surplus items" (2024), has already garnered 11 citations, reflecting its timely impact on the field. This study pioneers a novel approach that integrates storage assignment and order batching decisions, accounting for dynamic storage depths and surplus items—a realistic yet underexplored aspect of RMFS. By developing optimization models that reduce travel time and improve throughput, Zhao’s research offers practical solutions for industry, bridging the gap between theoretical algorithms and real-world warehouse constraints. Their work is recognized for its methodological rigor and applicability, making Zhao a rising authority in intelligent logistics. For students and researchers, Zhao’s contributions exemplify how operations research can drive automation and efficiency in modern supply chains.