Papers
1
Total Citations
4
H-Index
1
About
Yaqi Si is a researcher focused on optimizing logistics and warehouse operations, with a particular emphasis on e-commerce fulfillment systems. Their key research areas include storage location assignment, order picking efficiency, and the application of computational intelligence methods to supply chain problems. Si's most notable contribution is a genetic-algorithm-based method for storage location assignments in mobile rack warehouses, published in 2019. This work addresses a fundamental challenge in modern e-commerce warehouses where mobile racks or auto robots are increasingly used. By developing an optimization approach that intelligently allocates stocks across racks, Si's research helps reduce order picking times and improve overall warehouse productivity. While this seminal paper has garnered 4 citations, it represents an important step in bridging operations research with practical warehouse management challenges. Si's work contributes to the growing body of knowledge on how automation and algorithmic optimization can transform traditional warehousing into more efficient, responsive systems capable of meeting the demands of rapid e-commerce order fulfillment.
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Top Papers
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