The Intelligent Production Process Is Very Important In The Textile Industry.
After several years' efforts, intelligent production process has made significant progress and remarkable results in many production sectors of the textile industry.
Such as the E system of the latitude and longitude, covers the whole process of spinning and weaving from open cotton to drawing, roving, spinning and winding. The open source printing and dyeing MES system in Hangzhou manages omni-directional management of on-line inspection, automatic control and automatic distribution of dyeing production process. The automatic cheese dyeing system of Shandong Kangping has realized automatic and batching of dyes and auxiliaries and automatic pmission of cheese. An automatic and continuous production line has been built. Shanghai and Eagle have developed the whole process production system from three dimensions of human body to CAD, three dimensional virtual fitting, automatic tailoring, and hanging sewing.
Production process intelligent system, downward link
Intellectualization
The equipment is integrated with the intelligent software management system and provides essential support for the intelligent new mode and new format, and is at the core position of the whole intelligent manufacturing.
The following development directions include: establishing on-line monitoring system, fully collecting site information such as manufacturing progress, site operation, quality inspection, equipment status, etc., establishing real-time database of production process, and integrating with process control and production management system.
It is very important to realize the production model analysis of production planning and scheduling, quantify the process management, and dynamically track the cost.
The goal of the system is to achieve basic data sharing, process pformation, real-time online optimization, and comprehensively enhance the production resources of enterprises.
Optimal allocation
Level.
Qingdao
The network MTM platform of the red collar group is applied to the personalized customization of men's suits. According to the large scale sample library, the order information flow is the core, the task is distributed to a number of flexible processing units controlled by the computer network, the fast response is realized. In the background, there is a strong function of information system support. Wuxi Jim brothers specializes in the personalized customization of the network men shirts, the customers can provide photos and related dimensions through the web site or WeChat online, realizing the volume order.
Based on the established human body model database and edition library, the company can make production after the order analysis. The fastest time from the order to the production is only 45 minutes, and the customer will not receive more than two days from the order to receive the goods.
With the rapid development of garment customization, the next step will focus more on the following aspects: relying on the network based personalized customization platform to achieve deep interaction with users, allowing customers to participate in the design and development more fully and achieve the full customization of products; the matching of design, production, supply chain management, service system and customization needs, and more flexible production equipment and information system support to reduce costs and improve efficiency; use big data technology to mine the fragmented and personalized demand data of users, and gradually improve the personalized product database of enterprises, and closer to the new needs of customers.
The mass customization of clothing has been put forward in 12th Five-Year as a common key technology. In fact, it is the contradiction between individualized demand and production efficiency that is solved by using new and high technology. The customized production of personalized clothing should be carried out at the cost and speed close to mass production.
This is a great challenge and requires more technological innovation and management innovation. There is a long way to go.
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