Change "manufacturing" to "intelligence" Quanzhou enterprise transformation intelligent manufacturing

With the development of a new round of information technology such as the Internet of Things and big data, the industrial revolution on a global scale has been put on the agenda, industrial transformation has gradually entered a substantive stage, and the construction of smart factories has become the trend of the times. "Made in China 2025" also clearly proposed to promote the intelligentization of the manufacturing process. The traditional manufacturing enterprises in Quanzhou also conformed to the general trend, seized the tide, changed “manufacturing” into “intelligence” and promoted the transformation and upgrading to smart factories.

The digital workshop has greatly liberated the labor force. (photo by Liu Wenyan)

The digital workshop has greatly liberated the labor force. (photo by Liu Wenyan)

Intelligentization comes to the transformation of traditional manufacturing industry

Under the wave of factory intelligence, how to change the original blind production mode and use the Internet to achieve precise "private customization" to meet the needs of customers is not only a major problem faced by Quanzhou's traditional manufacturing industry, but also an opportunity for its transformation and upgrading.

Tongyi.com, which was transformed from Dickson Weaving, is on its “intelligence” road. Its founder, Zheng Yi, first used the booming momentum of domestic e-commerce to hand over the e-commerce operations facing consumers to the service team. However, after all, the operation of the service is only a service, and it is impossible to further deepen the enterprise's genes and force the factory to upgrade." Zheng Yu said. As a result, they have strengthened their supply-side strength by integrating local factories and offering a variety of fabrics, styles and multiple categories. The credibility certificate of many physical factories and the promise of ensuring consumers' receipt of goods within 3 to 5 days is a highlight of Tongyi.com. Although this kind of business model is not sufficiently novel by many people, it plays a big role in maintaining the survival of enterprises. Zheng Hao also seeks the flexible upgrade of “C2F” (customer-to-factory), and strives to build an efficient smart factory at all stages of the production side to quickly match the individual needs of consumers.

In the face of the problem of the intelligentization of the traditional clothing industry, the Red Collar Group in Qingdao, Shandong Province is the forerunner of the traditional factory to transform the smart factory. Red-collar integrated industrial production resources, allowing customers to enjoy private customized services at low prices, and truly practice the C2F model. The company flexibly adjusts the production process through the combination of software and intelligent production equipment, and manufactures the products required by users at a relatively economical cost. With the help of big data analysis, Red Collar realizes large-scale personalized customization through data modeling. It can complete “one person, one version, one dress” in one minute, and achieve personalized customization in all details, and achieve it on the assembly line. Large-scale industrial production. The "red-collar mode" uses the Internet thinking innovation concept to effectively build a direct interaction platform between consumers and manufacturers, eliminate the opaque, unreasonable and unfair factors caused by intermediate links, and realize the organic combination of the real economy and the virtual economy.

Zheng Hao also has a "smart factory dream of 'red collar mode'". He said: "With the in-depth development of group clothing, many companies and units tend to customize exclusive clothing, which is a deep customization that reflects corporate culture and team spirit. Tongyi.com wants to connect customers, designers and smart factories through Internet tools. Together, improve efficiency and reduce costs. Through the integration of informatization and intelligence through big data, we have made efforts in the refined market of group clothing."

Find the right point, intelligent upgrade, seek breakthrough

In all areas of traditional manufacturing, intelligent upgrade has become an important focus for major companies to seek breakthroughs. The intelligent road of enterprises not only needs to closely follow the consumer demand, but also needs to “move the knife” from the internal production of the enterprise.

Entrepreneurs in Quanzhou know that intelligence is not about talking about it, so they moved early. Baihong Poly Fiber Technology Industrial Co., Ltd. is committed to creating an intelligent production model factory through digital transformation. Taking the spinning workshop as an example, the number of workers has been reduced from 64 to 16. “With a worker’s average annual salary of 50,000 yuan, it can save 2.4 million yuan per year. In addition, after the introduction of robots, the speed is faster, and it can avoid the appearance damage caused by manual mistakes and reduce the product bad ratio.” Chen Abin, the brand manager, said that the construction of the digital workshop will further increase the proportion of high-end customized products.

In addition to the intelligence of all aspects of production and management, companies have also increased their efforts in the intelligentization of products. As one of the leading sports goods companies in Fujian, Xtep not only builds flexible production lines with intelligent means, but also connects consumers and upstream suppliers, so that consumers' needs are transmitted directly and without time to every link in the supply chain. Product development has shown an eye-catching innovation capability, and the first children's smart positioning shoes jointly developed with Qihoo 360 were opened for ordering at the first quarter of 2016. At the same time, Xtep also plans to launch smart products connected to the APP and expand different types of smart equipment.

There is also the field of household product manufacturing, and it is to use "intelligence" to bring more beauty to life. Jiu Mu kitchen and toilet has carried out in-depth transformation of its intelligent automated production process. Its Ceramic Intelligence Research Institute is a “Made in China 2025” demonstration project and the world's first ceramic automatic production technology research base. The automated production line subverts the traditional ceramic manufacturing model and fully realizes informationization, automation and intelligence. In the Shanghai Kitchen and Bath Show, in addition to displaying a variety of top smart new products, Jiu Mu also cooperated with Huawei to create a cross-border cooperation between China's kitchen and bathroom industry and the Internet of Things smart home. The toilet that can be easily controlled by the APP, the jacuzzi that reserves the water, and the shower room that automatically opens the door after the induction of the door... Think about it, life is really colorful.

While traditional manufacturing companies are accelerating the construction of smart factories, some organizations specializing in providing intelligent solutions for factories have emerged. They provide “tailor-made” services to enterprises to help “intelligence” of traditional manufacturing. For example, Black King Kong Technology Co., Ltd., which is dedicated to the operation of the shoe industry's smart manufacturing solution, attempts to develop and develop a unitized production line combination for the transformational difficulties faced by small and medium-sized shoe enterprises. Manufacturers can purchase one or Multiple units are used in the production line and units can be added as the scale of production increases.

One side is the creation of a smart factory, and the other is the research and development of smart products. I believe that the intelligent road of Quanqi will be more and more open.

(Original title: Change "Manufacturing" to "Intelligence" Quanzhou Enterprise Transformation Intelligent Manufacturing)

Editor in charge: Zhang Xue

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