基于汽车装配线动态周期性物料配送调度系统

By using a dynamic periodic material distribution scheduling system, data collection, demand forecasting, and multi-objective optimization modeling are employed to generate refined material demand sequences and dynamic distribution plans. This solves the problem that existing systems cannot respond to production changes in real time, achieving forward-looking and efficient material distribution, reducing transportation costs, and ensuring the continuity of the production line.

CN122175305BActive Publication Date: 2026-07-17WUXI RONGCHUANG LOGISTICS SYST EQUIP CO LTD

Patent Information

Authority / Receiving Office
CN · China
Patent Type
Patents(China)
Current Assignee / Owner
WUXI RONGCHUANG LOGISTICS SYST EQUIP CO LTD
Filing Date
2026-05-09
Publication Date
2026-07-17

AI Technical Summary

Technical Problem

The existing automotive assembly line material distribution scheduling system cannot respond to production rhythm adjustments and order insertions in real time, resulting in material arrivals that are too early and cause backlogs or too late and lead to production line shutdowns. Furthermore, it is difficult to achieve an effective balance between distribution costs and timeliness.

Method used

A dynamic periodic material delivery scheduling system based on automobile assembly lines is adopted. Through data collection, demand forecasting, constraint management and multi-objective optimization modeling, a refined material demand sequence and dynamic delivery plan are generated. The system combines genetic algorithms for path planning and makes dynamic adjustments during execution.

Benefits of technology

It enables proactive and precise material distribution services, reduces transportation costs and ensures the continuous stability of the production line. By optimizing multiple objectives to balance the satisfaction of delivery distance and time window, it improves the overall efficiency of logistics operations.

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Abstract

本发明涉及智能制造物流技术领域,具体为基于汽车装配线动态周期性物料配送调度系统,包括:通过数据采集模块实时获取生产工位物料消耗与仓储库存状态。需求预测模块据此预测各工位未来周期内的物料需求序列,包含精确需求时间窗口。约束管理模块整合车辆容量、物料属性及通道规则等约束。优化建模模块基于需求序列与约束,构建以最小化总行驶距离和满足所有时间窗口为目标的多目标优化模型。调度生成模块求解该模型,生成包含车辆出发时间、装载清单、配送路径及预计抵达时间的动态配送计划。本发明实现了物料需求的精准动态预测与配送成本、时效的多目标协同优化。
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