WO2016119449A1

WO2016119449A1 - Quick response management system and method for clothing manufacture

Info

Publication number: WO2016119449A1
Application number: PCT/CN2015/087651
Authority: WO
Inventors: 卢君宇; 黎启光; 观秉贤
Original assignee: 香港纺织及成衣研发中心有限公司
Priority date: 2015-01-26
Filing date: 2015-08-20
Publication date: 2016-08-04
Also published as: CN105894170A

Abstract

A quick response management system and method for clothing manufacture, the quick response management system comprising: a product defect recording module (10), for obtaining an externally input product defect found at a production line or by a supplier, and digitally recording the product defect; a quality analysis server module (20), for generating a product quality report according to product defect data recorded by the product defect recording module. The invention employs a high-efficiency, low-cost clothing manufacture quality management platform capable of classifying and digitizing product defect information so as to monitor in real time product defects in a clothing manufacture process, and raise a corresponding alarm, such that a middle or senior manager can employ a corrective action at any time according to the quality report, and a customer can also actively receive a quality alarm at an early phase of manufacture, thus greatly reducing or avoiding generation of a serious defect in the clothing manufacture process, improving production efficiency and improving product quality.

Description

Description: Inventor name: rapid response management system and method for garment production

[0001] The present invention relates to the field of garment production technology, and more particularly to a rapid response management system and method for garment production.

Background technique

[0002] In the current apparel supply chain, information about the quality management of apparel design is not comprehensive enough to meet the challenges of rapidly changing industry needs. Moreover, in the current production of labor-intensive garments, current information technology does not allow them to respond quickly to the quality of the system, and still relies heavily on manual methods to record product defects, especially in garment production lines, where most garment manufacturers use paper format records. After the defect is entered into the computer system, the defect record of the digital evidence is rarely collected by the digital camera. As a result, the current apparel supply chain lacks an effective, low-cost quality management platform that can classify and digitize product defect information.

technical problem

The technical problem to be solved by the present invention is to provide a rapid response management system and method for garment production in view of the above-mentioned drawbacks of the prior art.

Problem solution

Technical solution

[0004] The technical solution adopted by the present invention to solve the technical problem thereof is:

[0005] Constructing a rapid response management system for garment production, wherein:

[0006] a product defect recording module, configured to obtain an externally input product defect found on a production line or a supplier, and classify and digitize the product defect;

[0007] a quality analysis server module, configured to generate a product quality report according to the product defect data recorded by the product defect recording module.

[0008] The management system of the present invention, wherein the product defect recording module includes a defect classification marking unit for acquiring a gesture product defect mark input by a quality control inspector and for performing the gesture product defect mark Identifyed defect classification identification unit; [0009] wherein the gesture product defect mark includes a triangle indicating a slight defect, a circle indicating a major defect, and an arrow indication.

[0010] The management system of the present invention, wherein the defect classification and recognition unit comprises:

[0011] A triangle recognition subunit is used to find the rightmost point A and the leftmost point B of the input, assuming that the stitching triangle is smooth, and the point of the stroke is divided into three segments: (1) the first point to, (2) to 8, (3) B to the last point; draw the head and tail points in each paragraph into a line, and calculate the average distance X of each point in the paragraph and the line, respectively calculate the corresponding three lines XI, X2, and X3, in addition to calculate the distance Y of the first and last points, and the distance Z of A and B, where the triangle score 2 = ( 1 + 2 + 3) / (1 + 丫 / 2), through Z The size of the judgment is whether it is a triangle.

[0012] The management system of the present invention, wherein the gesture product defect classification and recognition unit comprises:

[0013] The circle recognition subunit is used to find the intermediate point, and then at each point of the stroke, calculate the distance from the intermediate point, find the maximum and minimum distances P and Q, and calculate the circular fraction Z1 = P / Q , by the size of Z1 to determine whether it is a circle.

[0014] The management system according to the present invention, wherein the quality analysis server module includes a quality prediction model for predicting a probability of a major defect in the garment production and calculating a probability value;

[0015] the quality analysis server module includes a quality alarm sub-module for issuing a quality alarm when there is a product defect;

[0016] wherein the quality alarm sub-module includes a quality alarm gateway and a traffic light alarm device for performing quality alarm by SMS and email;

[0017] The traffic light warning device includes a red light, a green light, and a yellow light for displaying a product defect in the production line, wherein the green light indicates no defect, the yellow light indicates slight defect, and the red light indicates significant Defect, red light status will trigger a quality alert to facilitate pre-defined user quick response to resolve quality issues

[0018] The present invention also provides a rapid response management method for garment production, wherein the following steps are included

[0019] A, obtaining externally entered product defects found in the production line or supplier, and classifying and digitizing the product defects;

[0020] B. Generate a product quality report according to the product defect data recorded by the product defect recording module. [0021] The management method of the present invention, wherein the step A includes the following steps:

[0022] Al, acquiring a gesture product defect mark input by the quality control inspector;

[0023] A2, identifying the gesture product defect mark;

[0024] wherein the gesture product defect mark comprises a triangle indicating a slight defect, a circle indicating a major defect, and an arrow indication.

[0025] The management method of the present invention, wherein the step A2 comprises the following steps:

[0026] A21, find the rightmost point A and the leftmost point B of the input, assuming that the stitching triangle is smooth, dividing the drawn point into three segments: (1) the first point to, (2) to 8 (3) B to the last point; draw the head and tail points in each paragraph into a line, and calculate the average distance X of each point in the paragraph and the line, and calculate the corresponding XI, X2 and X3, in addition to calculate the distance Y between the first point and the last point, and the distance Α between Α and Ζ, where the triangle score 2 = ( 1 + 2 + 3) / (1 + ¥/2), judge whether it is triangle.

[0027] The management method of the present invention, wherein the step A2 includes the following steps:

[0028] A22, find the intermediate point, and then at each point of the stroke, calculate the distance from the intermediate point, find the maximum and minimum distances P and Q, calculate the circular fraction Z1 = P / Q, pass the size of Z1 Determine if it is a circle.

[0029] The management method of the present invention, wherein the step B includes the following steps:

[0030] Bl, predicting the probability of significant defects in the garment production and calculating the probability value;

[0031] B2, issuing a quality alarm after having a product defect;

[0032] wherein the issuing quality alarm comprises a quality alarm by SMS and email, and a summary of product defects displayed on the production line by red light, green light and yellow light, wherein the green light indicates no defect, and the yellow light indicates slight Defects, red light indicates a major defect, red light status will trigger a quality alarm, so that the pre-defined user quickly responds to solve the quality problem.

Advantageous effects of the invention

Beneficial effect

[0033] The beneficial effects of the present invention are: realizing the monitoring and alarming of product defects in the garment manufacturing process by adopting a garment production quality management platform that is efficient, low-cost, and capable of classifying and digitizing product defect information, so that Senior management personnel can take corrective actions according to the quality report, and customers can actively receive quality alarms at the early stage of production, greatly reducing or avoiding major defects in the garment manufacturing process. Appearance, improve production efficiency and improve product quality.

Brief description of the drawing

DRAWINGS

[0034] The present invention will be further described below in conjunction with the accompanying drawings and embodiments, in which:

1 is a schematic block diagram of a rapid response management system for garment production in accordance with a preferred embodiment of the present invention;

2 is a flow chart of a quick response management method for garment production according to a preferred embodiment of the present invention.

BEST MODE FOR CARRYING OUT THE INVENTION

[0037] The principle of the rapid response management system for garment production according to the preferred embodiment of the present invention is as shown in FIG. 1 , which includes: a product defect recording module for obtaining externally input product defects found on a production line or a supplier, And classify and digitize the product defects; the quality analysis server module is used to generate a product quality report based on the product defect data recorded by the product defect record module. In this way, through the use of high-efficiency, low-cost garment production quality management platform that can classify and digitize product defect information, real-time monitoring and alarm of product defects in the garment manufacturing process can be realized, so that middle and senior managers can follow the quality report.吋 Take corrective measures, customers can also actively receive quality alarms in the early stage of production, greatly reducing or avoiding the occurrence of major defects in the garment manufacturing process, improving production efficiency and improving product quality.

[0038] In a further embodiment, the product defect recording module includes a defect classification marking unit for acquiring a gesture product defect mark input by the quality control inspector, and a defect classification identifying unit for identifying the gesture product defect mark; Among them, the gesture product defect mark includes a triangle indicating a slight defect, a circle indicating a major defect, and an arrow indication. The product defect recording module can be implemented by a software program that is solidified in a hardware device such as a tablet computer. The quality control inspector inputs the above-mentioned gesture product defect mark through a touch screen of a hardware device such as a tablet computer, and the input mode can be arbitrary, for example, a smooth pin, The defect classification recognition unit automatically recognizes the above marks, such as a reverse needle.

[0039] In a further embodiment, the defect classification identifying unit includes: a triangle identification subunit, configured to find the rightmost point A and the leftmost point B of the input, assuming a smoothing triangle, which will be drawn The point is divided into three segments: (1) the first point to the eighth, (2) to 8, (3) B to the last point; the head and tail points in each paragraph are drawn into a line, and each point in the paragraph is calculated and The average distance X of the line is calculated as XI, X2, and X3 corresponding to the three lines, and the distance Y of the first point and the last point, and the distance Α and Β of the first point are calculated, three of which The angular fraction Z = (XI + X2 + X3) I (1 + Y/Z), judges whether it is a triangle by the size of Z. among them

The smaller the triangle score Z, the more triangles are drawn.

[0040] In a further embodiment, the gesture product defect classification and recognition unit includes: a circle recognition sub-unit for finding an intermediate point, and then calculating a distance from the intermediate point at each point of the stroke to find the maximum and minimum The distances P and Q, calculate the circular fraction Z1 = P / Q, and determine whether it is circular by the size of Z1. Among them, the smaller the circular fraction Z, the more circular it is.

[0041] In the above embodiment, the product defect recorded from the tablet device is uploaded to the quality analysis server module, and in a new format file including the defect information, the photo, and the layer, the user can use the check box to display and An annotation that hides a specific defect in the photo. Among them, the annotation of product defects uses the multi-level feature of JPE and Scalable Vector Graphics (SVG), which is a new file format used to store product defect images. This file format stores defects of multiple products. Record and annotate in the same image.

In a further embodiment, the quality analysis server module includes a quality prediction model for predicting a probability of a major defect in the garment production and calculating a probability value. Quality prediction can help production managers predict the relationship between potential defects and specific production settings. The prediction of quality defects will be based on historical data and the quality level of the supplier and production line. The analysis is performed by polynomial regression, which will generate the probability of each defect type, production and quality management can predict the quality based on the level of historical data.

[0043] In a further embodiment, the quality analysis server module includes a quality alarm sub-module for issuing a quality alarm in the presence of a product defect; wherein the quality alarm sub-module includes a quality alarm gate for quality alarm by SMS and email. Road and traffic light warning devices. Among them, the quality alarm gateway can be used by the user to define the quality alarm trigger point, for example: the number of major product defects in each production line within 1 hour. The traffic light warning device includes red, green and yellow lights for displaying the product defects in the production line, wherein the green light indicates no defects, the yellow light indicates slight defects, the red light indicates major defects, and the red light status A quality alert will be triggered to help the pre-defined user respond quickly to resolve quality issues.

[0044] Another embodiment of the present invention further provides a rapid response management method for garment production, as shown in FIG. 2, comprising the following steps: Sl, obtaining external input found on a production line or a supplier Product defects, and classified and digitally recorded product defects; S2, products recorded according to the product defect record module Defect data generates product quality reports. In this way, through the use of high-efficiency, low-cost garment production quality management platform that can classify and digitize product defect information, real-time monitoring and alarm of product defects in the garment manufacturing process can be realized, so that middle and senior managers can follow the quality report.吋 Take corrective measures, customers can also actively receive quality alarms in the early stage of production, greatly reducing or avoiding the occurrence of major defects in the garment manufacturing process, improving production efficiency and improving product quality.

[0045] In a further embodiment, the foregoing step S1 includes the following steps: Sl1: acquiring a gesture product defect mark input by the quality control inspector; S12, identifying a gesture product defect mark; wherein, the gesture product defect mark includes Triangular triangles with minor defects, circles and arrows indicating significant defects. The software program that is solidified in a hardware device such as a tablet computer can be used to mark the defect of the gesture product, and the quality control inspector inputs the defect mark of the gesture product through the touch screen of the hardware device such as a tablet computer, and the input mode can be arbitrary, for example, The defect classification recognition unit automatically recognizes the above-mentioned mark by a needle, a reverse needle, and the like.

In a further embodiment, the foregoing step S12 includes the following steps: S121: Find the rightmost point A and the leftmost point B of the input, and assume that the stitching triangle is divided into three segments: (1) The first point to A, (2) to 8, (3) B to the last point; the head and tail points in each paragraph are drawn into a line, and the average distance between each point and the line is calculated. X, respectively calculate the corresponding XI, X2 and X3 of the three-segment line, and calculate the distance Y of the first point and the last point, and the distance Α of Α and Ζ, where the triangle fraction Ζ = (XI + Χ2 + Χ3) / ( 1 + Υ/Ζ), judges whether it is a triangle by the size of Ζ. Among them, the fewer the triangle scores, the more triangles are drawn.

In a further embodiment, the foregoing step S12 includes the following steps: S122: Find an intermediate point, and then calculate a distance from the intermediate point at each point of the stroke to find the maximum and minimum distances P and Q, and calculate The circular fraction Z1 = P / Q, which is judged by the size of Zl to be circular. Among them, the smaller the circular fraction Z, the more circular the stroke.

[0048] In a further embodiment, the above step S2 comprises the following steps: S21: predicting the probability of significant defects in the garment production and calculating the probability value; and the quality prediction can help the production manager to predict potential defects and specific production settings. Relationship. The prediction of quality defects will be based on historical data and the quality level of the supplier and production line. The analysis is performed by polynomial regression, which will generate the probability of each defect type, production and quality management can predict the quality based on the level of historical data. [0049] In a further embodiment, the foregoing step S2 includes the following steps: S22: issuing a quality alarm when there is a product defect; wherein, issuing a quality alarm includes performing quality alarm by SMS and email, and passing red, green and yellow lights A summary of the product defects displayed on the production line, where the green light indicates no defects, the yellow light indicates a slight defect, the red light indicates a major defect, and the red light status triggers a quality alert to facilitate a pre-defined user to quickly respond to quality problems. Among them, the quality alarm gateway, the user can define the quality alarm trigger point, for example: the number of major product defects in each production line within 1 hour. The traffic light warning device includes red, green and yellow lights for displaying the product defects in the production line, wherein the green light indicates no defects, the yellow light indicates slight defects, the red light indicates major defects, and the red light status A quality alert will be triggered to help the pre-defined user respond quickly to resolve quality issues.

[0050] In summary, the present invention realizes the actual monitoring and alarm of product defects in the garment manufacturing process by adopting a garment manufacturing quality management platform that is efficient, low-cost, and capable of classifying and digitizing product defect information, so that the middle and the high level are made. Managers can take corrective actions based on the quality report. Customers can also actively receive quality alarms in the early stages of production, greatly reducing or avoiding the occurrence of major defects in the garment manufacturing process, improving production efficiency and improving product quality.

[0051] It is to be understood that those skilled in the art can devise modifications or variations in accordance with the above description, and all such modifications and changes are intended to be included within the scope of the appended claims.

Claims

Claim

A rapid response management system for garment production, comprising: a product defect recording module, configured to obtain externally input product defects found on a production line or a supplier, and classify and digitize the product defects ;

The quality analysis server module is configured to generate a product quality report according to the product defect data recorded by the product defect record module.

The management system according to claim 1, wherein the product defect recording module includes a defect classification marking unit for acquiring a gesture product defect mark input by a quality control inspector and for marking the gesture product defect mark Identifying the defect classification identification unit;

Wherein, the gesture product defect mark includes a triangle indicating a slight defect, a circle indicating a major defect, and an arrow indication.

The management system according to claim 2, wherein the defect classification and identification unit comprises:

The triangle recognition sub-unit is used to find the rightmost point A and the leftmost point B of the input. It is assumed that the stitching triangle is divided into three segments: (1) the first point to, (2) To 8, (3) B to the last point; divide the head and tail points in each paragraph into a line, and calculate the average distance X of each point in the paragraph and the line, and calculate the XI corresponding to the three lines, X2 and X3, in addition to calculate the distance Y between the first point and the last point, and the distance Α between Α and Ζ, where the triangle fraction Ζ = (Χ1 + Χ2 + Χ3) / (1 + Υ/Ζ), judged by the size of Ζ Whether it is a triangle.

The management system according to claim 2, wherein the gesture product defect classification and recognition unit comprises:

The circle identifies the subunit, which is used to find the intermediate point, and then at each point of the stroke, calculates the distance from the intermediate point, finds the maximum and minimum distances Ρ and Q, and calculates the circular fraction Z1 = P / Q, through Zl The size of the judgment is round.

The management system according to claim 1, wherein said quality analysis server module includes a quality for predicting a probability of a major defect in the garment production and calculating a probability value Volume prediction model;

The quality analysis server module includes a quality alert sub-module for issuing a quality alert in the event of a product defect;

The quality alarm sub-module includes a quality alarm gateway and a traffic light alarm device for performing quality alarm by SMS and email;

The traffic light warning device includes a red light, a green light and a yellow light for displaying a product defect in the production line, wherein the green light indicates no defect, the yellow light indicates slight defect, and the red light indicates a major defect, red The light status triggers a quality alert to help the pre-defined user quickly respond to quality issues.

[Claim 6] A rapid response management method for garment production, comprising the following steps

A. Obtain externally entered product defects found on the production line or supplier, and classify and digitize the product defects;

B. Generate a product quality report according to the product defect data recorded by the product defect recording module.

[Claim 7] The management method according to claim 6, wherein the step A includes the following steps:

Al, obtaining a gesture product defect mark input by the quality control inspector;

A2, identifying the gesture product defect mark;

[Claim 8] The management method according to claim 7, wherein the step A2 comprises the following steps:

A21. Find the rightmost point A and the leftmost point B of the input. Assume that the stitching triangle is divided into three segments: (1) The first point to, (2) to 8, (3) B to the last point; draw the head and tail points in each paragraph into a line, and calculate the average distance X of each point in the paragraph and the line, calculate the corresponding XI, X2 and X3 of the three lines, respectively Calculate the distance Y between the first point and the last point, and the distance Α between Α and Ζ, where the triangle fraction Ζ = (XI + X2 + X3) I (1 + Y/Z), judge whether it is a triangle by the size of Z.

[Claim 9] The management method according to claim 7, wherein the step A2 comprises the following steps:

A22. Find the intermediate point. Then, at each point of the stroke, calculate the distance from the intermediate point, find the maximum and minimum distances P and Q, and calculate the circular fraction Z1 = P / Q. Determine whether the size of Z1 is Round.

[Claim 10] The management method according to claim 6, wherein the step B includes the following steps:

Bl, predicting the probability of major defects in garment production and calculating the probability value;

B2, issue a quality alarm when there is a product defect;

The issuing quality alarm includes a quality alarm by SMS and email, and a summary of product defects displayed on the production line by red light, green light and yellow light, wherein the green light indicates no defect, the yellow light indicates slight defect, red The light indicates a major defect and the red light status will trigger a quality alert to allow the pre-defined user to respond quickly to resolve quality issues.