Zixiang Qi
Papers
2
Total Citations
8
H-Index
2
About
Zixiang Qi is a researcher focused on advancing logistics and warehouse automation, with a particular emphasis on optimizing e-commerce fulfillment systems through robotics. His primary research area lies in order batching algorithms, where he has made significant contributions to improving the efficiency of logistics robots in warehouse environments. Qi’s most cited work, “An improving clustering algorithm for order batching of e-commerce warehouse system based on logistics robots” (2018), has garnered a total of 8 citations, demonstrating its relevance in the field. In this paper, he analyzed different order picking patterns by examining the operational processes of logistics robots, then developed a novel clustering-based batching model and strategy to streamline order processing. This contribution addresses critical challenges in e-commerce warehousing, such as reducing travel time and increasing throughput. Qi’s work is notable for its practical application in modern logistics systems, offering a data-driven approach to enhance robot coordination and batch efficiency. His research stands as a valuable resource for students and professionals seeking to understand the intersection of robotics, clustering algorithms, and warehouse management in the rapidly evolving e-commerce landscape.
Research Focus
Key Achievements
Top Papers
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- 2