关键词: 自动小车存取系统, B2C电商订单, 节约时间法聚类, 价格折扣, 品项物流价值

Abstract: In the case of single order and multiple orders,the impact of Autonomous Vehicle Storage and Retrieval System (AVS/RS) system operation efficiency by changing the item's allocation was analyzed,and a time-saving multi-level heuristic clustering algorithm which used the similarity coefficient between order items to cluster was proposed.By combining the price discount for goods and order count,the model of item-logistics-value was proposed and used as the basis for the optimization of the item's allocation.A simulation model was constructed to verify the effectiveness of the clustering method and the storage optimization strategy.The results showed that the multi-level heuristic clustering algorithm based on time-saving method had a good effect;the dynamic storage optimization strategy based on item-logistics-value had a significant effect on improving order delivery efficiency which had considered the price discount and order frequency by comparing with the traditional full turnover rate allocation strategy.

Key words: autonomous vehicle storage and retrieval system, B2C ecommerce order, time saving method for clustering, price discount, item logistics value