Intelligent wave split picking dynamic optimization system

By constructing an intelligent wave splitting and picking dynamic optimization system, the problem of dynamic adjustment of wave division and execution in warehousing operations has been solved, realizing efficient and flexible response in warehousing operations and improving the throughput capacity and resource utilization of the logistics center.

CN122264374APending Publication Date: 2026-06-23JILIN GUANGJU PHARM CO LTD
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Patent Information

Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Filing Date
2026-03-12
Publication Date
2026-06-23

AI Technical Summary

Technical Problem

Existing technologies lack end-to-end wave division and execution dynamic optimization mechanisms, making it difficult for warehousing operations to adapt to environmental changes. In particular, they cannot dynamically adjust when equipment fails or high-priority orders flood in, affecting the timeliness and resource utilization of the scheduling system.

Method used

A smart wave splitting and picking dynamic optimization system is constructed, including an order data acquisition module, a strategy template construction module, an order feature analysis module, a wave division module, and a dynamic optimization adjustment module. Through multi-dimensional feature extraction and optimization models, dynamic adjustment of waves and load balancing are achieved.

Benefits of technology

It improves the timeliness and flexibility of warehousing operations, can accurately pinpoint load imbalance points and abnormal equipment conditions, dynamically adjust wave structure and personnel allocation, and enhance the throughput capacity and resource utilization of logistics centers.

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Abstract

The application belongs to the technical field of warehouse logistics, and discloses an intelligent wave splitting and picking dynamic optimization system; multi-source data such as order attributes and warehouse environment are acquired, a wave strategy template that can be customized is constructed, multi-dimensional order feature extraction and similarity measurement are realized; a wave division multi-objective optimization model is introduced, and the objective is to maximize cohesion and minimize travel; through real-time load balancing evaluation and dynamic scheduling mechanism, the work load is quantified, and the wave scheme and personnel allocation are accurately adjusted. The application has adaptability and high efficiency, can dynamically optimize and respond to abnormal responses in complex warehouse scenes, and effectively improves the picking efficiency and resource utilization.
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