Optimization Methods for Flexible Production Scheduling of Eco-friendly Paper Packaging for Small-Batch Orders

By constructing a hierarchical weighted value assessment structure and incremental topology sorting, combined with edge computing nodes, the problems of real-time capture of value signals and untimely priority updates in small-batch order production scheduling systems are solved, achieving efficient and stable production response and delivery.

CN122088907APending Publication Date: 2026-05-26ZHONGSHAN LIANFU PACKAGING CO LTD
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Patent Information

Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
ZHONGSHAN LIANFU PACKAGING CO LTD
Filing Date
2026-01-12
Publication Date
2026-05-26

AI Technical Summary

Technical Problem

Existing small-batch order production scheduling systems are unable to capture multi-dimensional value signals in real time when faced with high-frequency fluctuations in order value. This results in untimely priority updates, frequent adjustments to production schedules, and affects the rigidity and continuity of execution on the production floor.

Method used

A hierarchical weighted value assessment structure is constructed, which combines incremental topology sorting and rolling time-domain optimization strategies. The value of orders is evaluated in real time through edge computing nodes, and a scheduling plan for local reconstruction is generated to ensure system stability and flexibility.

Benefits of technology

It enables dynamic evaluation of order value, improves production response speed and overall delivery quality, reduces computational complexity, enhances system predictability and controllability, and is suitable for multi-variety, small-batch production environments.

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Abstract

This invention provides a flexible production scheduling optimization method for environmentally friendly paper packaging for small-batch orders. The method includes: acquiring multi-dimensional real-time data of small-batch environmentally friendly paper packaging orders from market, customer, and production dimensions; generating order value scores through a hierarchical weighted value assessment structure; using a priority stable boundary mechanism, the order value scores drive real-time local sorting adjustments to the task queue; and then employing incremental topology sorting and rolling time-domain optimization strategies to construct a scheduling reconstruction plan under resource constraints. Based on edge computing, the method achieves micro-batch streaming processing and historical fulfillment feedback, adaptively adjusting priority thresholds to optimize the balance between adjustment frequency and fulfillment rate. This invention improves the real-time performance of order response and the stability of scheduling, helps to balance agile order allocation and production execution continuity, and enhances resource utilization and management intelligence in complex order environments.
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