How To Optimize The Size Management Of Customized Garments

In the custom garment production process, the generation of special body shapes in the data table of the normalized number brings difficulty to such processes as discharging, cutting and sewing.

How to reasonably control the multiple factors such as styling requirements, customer dress requirements, special pattern revision, production and processing costs? Dynamic optimization of the number operation becomes the key. Based on the e-MTM production mode, the DIS management platform of customized garments is applied. The digitalized technology and network technology applied to garment production management can form an efficient fashion digital production mode.

From the needs of optimizing the production process, the main business entity functions such as fitness, type matching, query screening, automatic and manual merging are designed.

First is the design of fitness.

In the matching process of clothing pattern, considering the different standards of loose clothing and tight clothing, the system especially adds the design concept of fitness to be compatible with all kinds of special situations.

For loose clothing, set a positive adjustment value and set a negative adjustment value for tight clothing.

According to the setting of fitness, after adjusting the value of the standard shape in advance, and matching the production funds, the matching result will be more accurate.

Next is the type matching setup.

As each paragraph

In order to better maintain the production data of the enterprise, the system needs to be set up in a dynamic management way, that is, for the specific characteristics of each garment, it is necessary to adopt the customizable method to set up the garment in the system.

And set the specific volume and location of the garment and the matching upper and lower limits.

In addition, we need to build

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At the same time, a matching query function is designed. It can show the difference between the size of the key measurement body and the corresponding part size of the production type according to the data of each tested body (the smaller the difference is, the higher the matching degree), including the difference between the total difference and the cross file difference (exceeding the location difference). Under the premise that the total difference is equal, the priority of the cross file difference is smaller.

This function can query the process and difference of automatic matching of the system, and compare with the result of manual matching. If there is a big difference, the matching parameters may need to be adjusted accordingly.

As shown in Figure 2.

Finally, automatic and manual merging.

From the scale of production needs of enterprises, of course, the total number of matching matching fewer, the better, this can improve productivity.

Therefore, in some cases, human intervention can be done on matching results, and two modes of automatic merging and manual merging are designed.

Automatic merging is the tolerance of users manually entering key parts. The system automatically merges according to tolerance (two or more types are unified into one type), so as to simplify production and improve efficiency.

Manual mergence is the type that the operator fills in the system directly, and it also achieves the effect of reducing the total number of final production.