基于需求预测的医药物资调度方法

By constructing a response potential energy field model and a dynamic priority adjustment mechanism for medical supplies dispatch, the problem of response lag in multi-level warehouse systems under sudden demand was solved, enabling rapid and flexible resource dispatch and efficient emergency medicine supply.

CN122414701APending Publication Date: 2026-07-17

Patent Information

Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Filing Date
2026-05-11
Publication Date
2026-07-17

AI Technical Summary

Technical Problem

The existing medical logistics and material dispatch system is unable to dynamically respond to drastic fluctuations in demand due to the complex coupling relationship between multi-level warehouses and sudden outbreaks of epidemics, resulting in delayed decision-making and rigid resource allocation, especially in the insufficient response capability in the supply of emergency medicines.

Method used

A demand forecasting-based medical supplies scheduling method is constructed. By acquiring real-time inventory levels, forecasted demand, and allocation task data from multi-level warehouses, a response potential energy field model is formed. Using potential energy transmission links and local replacement protocols, priority ranking is dynamically adjusted to achieve flexible resource allocation and rapid response.

Benefits of technology

It significantly improves the response speed and resource utilization efficiency of the medical supplies dispatch system, enabling rapid response to emergency drug needs in the event of sudden demands, reducing the cost of manual intervention, and improving the system's sensitivity and robustness.

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Abstract

本发明涉及基于需求预测的医药物资调度方法,利用大数据分析技术,针对传统仓库调拨在响应时延、需求预测误差和高优先级订单配置瓶颈等问题,通过多源采集实时库存、预测需求和响应时延等信息,量化供给缺口、响应惯性和刚性约束,以非线性耦合分析生成仓库节点响应势能,结合拓扑阻抗构建单向势能传导链路,实现节点间任务优先级让渡与动态再平衡,并引入微扰机制防止资源僵化。最终驱动多目标调度模型输出优化的配送路径和时间表,系统可通过闭环反馈动态修正调度策略,实现医药物资多级仓库间高效、柔性和时效兼顾的协同响应,提升系统整体的应急保障和持续优化能力。
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