一种订单组波处理方法和装置
By processing order data using a Gaussian distribution model and a target model, and dynamically determining the order grouping scheme, the problems of manual dependence and fixed intervals are solved, thereby improving the balance between outbound efficiency and fulfillment time.
CN120013432BActive Publication Date: 2026-07-17BEIJING JINGDONG YUANSHENG TECH CO LTD
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Patents(China)
- Current Assignee / Owner
- BEIJING JINGDONG YUANSHENG TECH CO LTD
- Filing Date
- 2023-11-15
- Publication Date
- 2026-07-17
AI Technical Summary
Technical Problem
In existing technologies, order grouping relies too heavily on manual operation, with fixed grouping time intervals, resulting in low outbound efficiency and difficulty in balancing fulfillment time and order grouping.
Method used
By processing order-related data using a Gaussian distribution model and a preset target model, the system predicts outbound time and the overlap rate of item types. Combining fulfillment time and wave order quantity constraints, it dynamically determines whether adjacent time periods can be merged and generates wave grouping schemes.
Benefits of technology
It improved order picking and outbound efficiency, met fulfillment time requirements, optimized the wave grouping process, and increased the number of orders and wave grouping flexibility.
✦ Generated by Eureka AI based on patent content.
Smart Images
Figure CN120013432B_ABST
Abstract
本发明公开了一种订单组波处理方法和装置，涉及仓储物流领域。该方法的一具体实施方式包括：确定当前时间所处当前时间段，获取当前时间段的第一待出库订单相关数据以及截单时间；通过高斯分布模型，得到下一时间段的第二待出库订单相关数据；通过预设目标模型得到当前时间段的第一出库时长、下一时间段的第二出库时长、当前时间段和下一时间段的物品种类重合率；将截单时间、第一出库时长、第二出库时长、物品种类重合率输入组波方式确定模型中，响应于模型输出结果为可合并，对当前时间段和下一时间段的待出库订单进行组波并下发拣货。该实施方式将当前时间段和邻接时间段组波，提升一个波次中的订单数量，既提升拣货效率，又满足履约时间。
Need to check novelty before this filing date? Find Prior Art