Intelligent Manufacturing And Internet Industry 4 Summit Forum Intelligent Manufacturing Helps Upgrade Garment Industry

Quanzhou textile and apparel industry 4 Era

Quanzhou textile and Garment Association, Shishi

Chamber of Commerce and Shishi Hongyun clothing trade Co., Ltd. jointly held the "textile and garment industry upgrading - intelligent manufacturing and Internet industry 4" Summit Forum, the Chinese Academy of Sciences software research institute Dr. Zhong Kang, Qingdao red collar group chairman Zhang Daili, Hongyun clothing Trading Co., Ltd. President Wu Liangjie shared the "intelligent manufacturing help traditional clothing industry pformation and upgrading" point of view.

Wisdom is the trend of development.

"The demographic dividend has gradually subsided, wages have increased rapidly," 90's "and" 00 after "values change and" small batch, multi varieties, rapid response "market demand and other factors catalyzed the great changes in the garment industry.

In sharing the "pformation and intelligent manufacturing of garment industry", Zhong Kang said that the survival and development environment of manufacturing industry is facing a series of problems such as difficult resources to support, increasing environmental pressure, increasing user demand, frequent trade frictions, fierce market competition, increasing labor costs and increasing operating costs. It must develop from traditional manufacturing mode to intelligent production service.

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Production is a process of dynamic change. It is impossible for people to pay attention to every link in time by relying on human resources, which determines that the potential of production has not been fully exerted.

Zhong Kang said that in contrast, intelligent technology is like 24 hours of all-weather excellent virtual managers, through the unique production model and optimization scheduling, intelligent analysis technology, combined with the real-time data collected by the underlying Internet of things, to provide enterprises with 24 hours all-weather excellent management.

Under the influence of human factors, intelligent technology can ensure the optimal allocation of personnel and workstations in the production process, and adjust in real time according to the actual production situation, so that the production efficiency of enterprises can be maintained at a higher level.

Customization meets individual needs

"Each person has his own size. Each person corresponds to a version, a specification, and a personality.

More than 10 years ago, I had the concept of "customization", but it was very difficult to customize it.

Zhang said that the technical problem that had plagued him has now been resolved. He called the customized service the C2M mode, that is, Customer (consumers) directly confront Manufactory (manufacturer).

In this mode, consumers directly connect with manufacturers, consumers express their requirements on the platform, and manufacturers meet their demands, which completely abolish the intermediate links and save costs.

Zhang agent told reporters.

There are many details in the process of data modeling, and the change of one data will synchronize 9666 data synchronously.

In the past 10 years, Qingdao red collar group has accumulated more than 2 million customized customized version data, including edition, style, technology and design data.

Relying on the huge data model, red collar is now like a "data factory".

"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 to integrate resources and integrate resources such as R & D, supply chain, designer and so on.

In Zhang's view, the Internet and

The combined Internet industry provides a concise and efficient operation system for upgrading and pformation of traditional industries.

The intelligent manufacturing plant will become the mainstream channel for consumers' personalized demand and direct supply of manufacturing enterprises.