Intelligent Manufacturing Leads The Upgrading Of Textile And Garment Industry
AI Sida Garments Co., Ltd. through independent research and development of intelligent laser engraving and cutting machine, the production efficiency has been greatly improved, the cost has been greatly reduced: the machine can cut a pair of jeans in 18 seconds, and 3 minutes to complete the washing effect.
"In the future, more companies need to use our smart tailoring technology."
In the view of founder Fan Youbin, intelligent manufacturing is the inevitable way for the future pformation of the traditional garment industry, otherwise it will be eliminated by the market.
Tian Qiming, chairman of the company, believes that in today's high labor shortage and high labor costs, the pformation of intelligent manufacturing is one of the effective ways for the traditional manufacturing industry to get out of the current difficulties. It can help enterprises improve their profit margins and increase their core competitiveness.
"
Made in China 2025 "
It is proposed to pform China from a big manufacturing country to a manufacturing power in 3 10 years.
Specific to
Spin
The garment industry is also facing the pformation from "big" to "big and strong", but this is also an opportunity and a challenge.
China's textile and garment industry can only survive in cracks if they are brave in trying and innovating and following the route of intelligent manufacturing.
Sun Ruizhe, vice president of China Textile Industry Federation, believes that textile industry
clothing
Industry has the foundation and advantages of advancing into the world's textile power camp.
However, intelligent manufacturing is the inevitable way for the pformation and upgrading of the traditional textile and garment industry and towards the textile power camp.
From the existing path, the textile and garment industry to promote intelligent manufacturing is bound to promote the construction of intelligent manufacturing cell, intelligent production line, intelligent workshop and intelligent factory from the aspects of intelligent product design, intelligent key processes, supply chain optimization and control.
At the same time, we should actively cultivate new mode of production, combine the characteristics of automobile, machine tools, communication equipment, textile and other industries, promote intelligent manufacturing application demonstration in key industries, and constantly explore new manufacturing modes such as large-scale customization, cloud manufacturing, and so on.
Intelligent manufacturing leads the upgrading of textile and garment industry
Yu Jianyong, academician of the Chinese Academy of engineering, believes that the ultimate goal of intelligent manufacturing is to achieve intelligent manufacturing, not only based on the rapid response of individual needs, personalized customization, and fast cross system, but also based on the integration of Internet technology into the industry.
"To enhance the level of intelligent manufacturing, we should start with developing intelligent equipment, develop intelligent and digitalized high-end textile equipment design technology platform based on information architecture, and carry out the human engineering engineering design of textile equipment to realize the numeral intelligent control of production equipment in each process."
Yu Jianyong said that the digitalization and intelligent management of all kinds of textile and equipment on-line automatic detection and design, and the production and marketing management industry chain, will further promote the realization of Intelligent Manufacturing in China's textile industry.
"C2M platform is actually a system thinking, including the front market development system, backstage support system and the middle big customer system. This is a complete value chain.
In the final analysis, what we are doing is integrating resources, integrating global R & D, supply chain and big names.
Designer
And other resources.
In the past 10 years, the red collar group of Qingdao has accumulated more than 2 million custom-made version data, including edition, style, technology and design data, said Zhong Kang, a doctor of the Software Institute of the Chinese Academy of Sciences and chairman of the red collar group of Qingdao.
Relying on the huge data model, red collar is now like a "data factory".
The intelligent manufacturing plant will become the mainstream channel for consumers' personalized demand and direct supply of manufacturing enterprises.
Intelligent production is a major trend, and is leading the pformation and upgrading of the textile and garment industry.
Qingdao red collar group is the best example.
Through the introduction of the information management system, we should seize the personalized, small batch and customized consumption trends, integrate personalized customization with large-scale industrial production, and take the customer orientation as the guide.
Big data
To implement the "c2m" mode, we sell products directly to consumers, build a fast supply system with resource integration and information process reengineering, and turn each employee into a responsive robot. According to different standard instructions, the price of customized suits, which are all hand-made and frequently priced at tens of thousands of yuan, is reduced to several thousand yuan.
Intelligent technology can ensure the optimal allocation of personnel and workstations in the production process, and make real-time adjustments according to actual production conditions, so that the production efficiency of enterprises has always been maintained at a higher level and has made considerable progress.
Effective coordination of man and machine to release the maximum efficiency of intelligent equipment
Intelligent production is the inevitable path of pformation and upgrading of traditional textile and garment industry.
However, with the continuous upgrading of machinery and equipment, the requirements for the quality of the operators are higher and higher, that is, the demand for advanced technical personnel and equipment maintenance personnel is increasing.
Experts said that only the effective coordination of human and machine can release the greatest efficiency of intelligent equipment.
In the view of Shi Xiaohui, deputy general manager of Longfeng textile, the upgrading of enterprise equipment and the upgrading of front-line talents should only achieve the effective coordination of human automation and machine automation, so as to maximize the realization of lean management, thereby reducing the production and operation costs of enterprises.
Li Huatao, director of the Jinjiang industrial technology center of Harbin Institute of Technology, said that the quality of the automation machine operators must be higher than the ordinary workers.
Because the automation platform is generally intelligent and semi-automatic or fully automatic control, its digitalization, networking and modularization are high, so the quality requirements for operators will be relatively high.
"If the manual operation is not professional, intelligent equipment will not be able to play its desired effect."
Industry 4
The era of information and physical systems will lead to a new round of industrial revolution.
For the traditional clothing industry, enterprises need to have the determination and courage to innovate, and the cultivation of talents can not be ignored.
Whether the operation of automated machinery or the development of new intelligent technology path is inseparable from high-quality talents.
For the advantages of intelligent manufacturing, Xia Lingmin, vice president of China Textile Industry Federation, summed up as follows: first, personalized customization can effectively integrate economies of scale and individualized products and services; two, it can improve the operation efficiency and reduce operating costs through system optimization; the three is to promote the formation of new formats and new modes, especially the trend of service-oriented manufacturing, and the four is to improve the efficiency of resource utilization.
How can we make the advantages of intelligent manufacturing get the most effective release? Training high-quality talents and achieving effective coordination between man and machine is the top priority.
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