Jiansha Lu

Papers

Total Citations

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About

Jiansha Lu 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. Lu'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, 11 citations), introduces a novel framework that simultaneously optimizes storage allocation and order batching—two interdependent processes traditionally handled separately. By incorporating dynamic storage depth and surplus item management, Lu’s model significantly reduces travel time and improves throughput in robotic warehouses. This contribution is pivotal for industries transitioning to automation, offering practical solutions for balancing inventory density with retrieval speed. Though early in their career, Lu’s work has already garnered attention for its innovative integration of real-world constraints into mathematical optimization. Their research bridges the gap between theoretical operations research and applied logistics, making it highly relevant for students and practitioners seeking to design smarter, more responsive fulfillment systems.