A multi-line adaptive task cooperative scheduling method and system

CN122347320APending Publication Date: 2026-07-07SUZHOU UNIV +1
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Patent Information

Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
SUZHOU UNIV
Filing Date
2026-06-08
Publication Date
2026-07-07

AI Technical Summary

Technical Problem

In the production of flexible hanging garments across multiple production lines, existing technologies lack scientific basis for cross-production line task scheduling, making it difficult to achieve efficient collaboration. Furthermore, the scheduling decision-making logic is one-sided, neglecting process compatibility and logistics costs, thus making it difficult to achieve global optimization.

Method used

By acquiring real-time production status data of the garment production line, calculating the load pressure index, setting multi-level response thresholds, and combining a comprehensive benefit matching model of transfer cost, process compatibility, and plan disturbance, the system automatically triggers task transfer and generates operation instructions to achieve cross-line collaborative scheduling.

Benefits of technology

It enables adaptive and collaborative scheduling of production tasks across different production lines, balances the load of each production line, avoids production congestion or delays, improves overall production efficiency and equipment utilization, and ensures the feasibility and quality of task transfer.

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Abstract

The application relates to the field of intelligent manufacturing, in particular to a multi-production-line self-adaptive task cooperative scheduling method and system. First, a multi-production-line self-adaptive task cooperative scheduling method is provided, which comprises the following steps: acquiring real-time production state data of each production line, and calculating a load pressure index of each production line according to the production state data; presetting a cooperative request threshold for each production line, receiving the load pressure index and the cooperative request threshold, and determining that a production line is an overloaded production line and extracting a task to be transferred when the load pressure index of the production line is not less than the cooperative request threshold; eliminating the overloaded production line to generate a candidate set, calculating a cooperative matching degree through a comprehensive benefit matching model of fused transfer cost, process compatibility and plan disturbance evaluation, and screening a task receiving production line; and generating an operation instruction to control the task transfer of the overloaded production line, the receiving production line and a material handling system. Secondly, a multi-production-line self-adaptive task cooperative scheduling system is provided according to the above content.
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