Clothing intelligent production management system and optimization method thereof

By identifying deviations in the garment production process and optimizing quality inspection equipment, the problem of quality defects in garment production was solved, the reliability and stability of quality inspection were improved, and the quality of garment production was guaranteed.

CN120725514BActive Publication Date: 2026-06-02ZHEJIANG JUYITANG APPAREL CO LTD
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Patent Information

Authority / Receiving Office
CN · China
Patent Type
Patents(China)
Current Assignee / Owner
ZHEJIANG JUYITANG APPAREL CO LTD
Filing Date
2025-05-21
Publication Date
2026-06-02

AI Technical Summary

Technical Problem

In the process of garment production management, the differences in garment types lead to differences in cutting, ironing and other processes, resulting in deviations in the probability of quality defects. Existing technologies cannot effectively optimize production management strategies to ensure quality.

Method used

By identifying deviation points in the garment production process, utilizing historical monitoring data from production equipment to pinpoint abnormal processes, and optimizing quality inspection plans based on the distribution data of quality inspection equipment, different types of garments are matched with quality inspection equipment to reduce the number of switchovers and improve the reliability and stability of quality inspection processes.

Benefits of technology

It enables the screening of abnormal links in production equipment and the optimization of quality inspection equipment settings, improves the reliability and stability of quality inspection processes, avoids the control difficulties caused by too many switching of quality inspection equipment, and ensures the quality of garment production.

✦ Generated by Eureka AI based on patent content.

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Abstract

The application provides a garment intelligent production management system and an optimization method thereof, and belongs to the technical field of production management, and specifically comprises the following steps: determining a production equipment abnormal link in a production deviation link by using historical monitoring data of associated production equipment in different production deviation links, determining distribution data of the nearest quality inspection equipment corresponding to the production equipment abnormal link of the garment, determining that there is a quality inspection risk hidden danger in the current quality inspection scheme based on the distribution data, determining a garment production type in a future preset time period by using a production plan of the garment, determining quality inspection matching conditions of different quality inspection equipment optimization schemes based on different garment production types and the production equipment abnormal link of the garment, and determining a target optimization scheme in the optimization scheme by combining switching data of the quality inspection equipment between different garment production types and garments, so that the reliability of quality inspection processing is improved.
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