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How will the high quality development of the manufacturing industry advance?

Jan 30, 2019 Leave a message

How will the high quality development of the manufacturing industry advance?

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Recently, Miao Wei, Minister of the Ministry of Industry and Information Technology, revealed a clear signal during an exclusive interview with the media, including policies to further reduce the manufacturing VAT rate and implement a new round of major technological transformation and upgrading projects.


At the same time, the exploration of China's intellectual creation, a number of leading manufacturing companies have begun to densely deploy artificial intelligence. The industry expects that the manufacturing digital transformation expenditure will exceed 200 billion yuan this year. By 2025, the enterprise application cloud rate and artificial intelligence utilization rate will reach 90%. It is expected that the deep integration of data, intelligence and manufacturing will lead to several ten trillion industries.


Top-level deployment: five aspects of real moves


The Central Economic Work Conference held at the end of 2018 listed "promoting the high-quality development of manufacturing industry" as the top priority of the seven key tasks of this year, clearly demanding the deep integration of advanced manufacturing and modern service industries, and unswervingly building a manufacturing power. Enhance the technological innovation capability of manufacturing industry, build an open, collaborative and efficient common technology research and development platform, increase innovation support for SMEs, and form an effective innovation incentive mechanism.


After the Central Economic Work Conference clarified the key directions, the Ministry of Industry and Information Technology and other departments further refined and implemented relevant measures. Minister of Industry and Information Technology, Miao Wei, said in an interview with the media on January 10 that, in order to promote the high-quality development of manufacturing industry, the policy system, indicator system and evaluation system for high-quality development of manufacturing industry will be established; the innovation capacity building will be strengthened; and the manufacturing structure will be deepened. Adjustment; optimize the manufacturing development environment; further expand the five aspects of opening up to the outside world.


Specifically, it includes “implementing a new round of major technological transformation and upgrading projects”, “in-depth implementation of intelligent manufacturing engineering, cultivating and developing a number of advanced manufacturing clusters”, “promoting further reduction of manufacturing VAT rates and continuous reduction of manufacturing electricity consumption”. A series of heavy measures such as “costs of water and other factors” and “implementation of open policies for industries such as automobiles, ships and aircraft” are all in progress.


The reporter learned from the Ministry of Industry and Information Technology that this year put the promotion of high-quality manufacturing in a more prominent position. Among them, vigorously promoting smart manufacturing is one of the key tasks in 2019. Specifically, it includes in-depth implementation of intelligent manufacturing engineering, research and development of national intelligent manufacturing standards. We will improve the promotion of the two-in-one integration management standard system, support and guide the use of new technologies, new industries, new business models, upgrade and upgrade traditional industries, and promote the digital transformation of manufacturing industries. Deepen the pilot demonstration of the development of manufacturing and Internet convergence, and focus on cultivating a new model of “double innovation” in manufacturing based on the industrial Internet platform. Promote the key task of the artificial intelligence industry innovation "opening up the list" mechanism. Do a good job in the development of big data industry pilots, and promote the development and application of industrial big data.


Chen Haoxiong, deputy director of the Ministry of Industry and Information Technology, mentioned at the Industrial Interconnection and Digital Economy Conference in 2018 that the next step will accelerate the digital transformation of manufacturing enterprises, promote the digital upgrading of key industries, and guide the digital transformation of industrial clusters.


The echo is loud: local and business companies are stepping up their layout.


The high-quality development of the manufacturing industry has also become a key issue for local governments and manufacturing companies this year.


On January 12, at the "2019 China Manufacturing Forum" hosted by Caijing, Zhu Wei, deputy secretary of the Foshan Municipal Party Committee and mayor, said that Foshan City will strive to cultivate two advanced equipments and equipments that will exceed tera billion by 2020. In the manufacturing industry cluster, by 2025, it is necessary to cultivate two super-500 billion, four over 300 billion advanced manufacturing clusters to lead the Foshan manufacturing to the mid-to-high end of the global value chain, and strive to form a mountain in 2025. A world-class advanced manufacturing industry cluster.


Not only Foshan, Chongqing, Jiangsu, Zhejiang, Henan and other places have intensively issued three-year action plan documents related to smart manufacturing, setting the development goals for 2020. For example, Chongqing clearly announced that by 2020, 2,500 enterprises will be promoted to implement intelligent transformation, and more than 68% of industrial enterprises will enter the digital manufacturing stage. The output value of intelligent manufacturing related industries exceeded 30 billion yuan. Zhejiang Province plans to achieve a total output value of 300 billion yuan in the smart equipment industry above designated size by 2020. More than 80% of the manufacturing backbone enterprises in the province adopt new modes of intelligent manufacturing, new processes and new methods. The total level of integrated development of the two technologies exceeds 100, and numerical control The rate is over 60%.


Fang Hongbo, chairman and president of Midea Group, said at the "2019 China Manufacturing Forum" that the current era has changed dramatically. How does China's traditional manufacturing industry take the lead in the digital age? It is a challenge facing the manufacturing industry, intelligent and automated. The digital way of reconstructing the value chain is a path that is currently being explored. He revealed that the budget for US investment in 2019 will exceed 2 billion yuan.


Cui Qiang, general manager of Aibo Rui Intelligent Manufacturing Research Institute, said that the digital transformation of Chinese enterprises may have to go in two directions. Large enterprises with strong autonomy can transform themselves. SMEs may need to develop through platform development and industry application cases.


Broad prospects: will spawn several ten trillion industries


To get a different washing machine, the consumer's needs arrive directly at the factory in an order. Online ordering, in addition to the choice of washing machine function, appearance, color and other personalized customization, the entire process of washing machine production, delivery, distribution, installation can be viewed on the mobile phone, this C2M mode (consumer to the factory) is driving Haier, The traditional manufacturing enterprises such as Midea have achieved change.


Behind the C2M customization and black light factory is not only the development and application of new technologies and new business models, but also the overall leap of China's manufacturing industry to the mid-end of the value chain and to China's intellectual development. Industry insiders predict that the deep integration of data, intelligence and manufacturing will lead to several ten trillion industries.


In the "2019 China Manufacturing Forum", industry experts said that to promote the manufacturing industry from large to strong, traditional manufacturing through the "+" Internet, as well as intelligent, data and other transformations, promote the transformation and upgrading of manufacturing, improve manufacturing The overall level.


Hou Yunchun, former deputy director of the Development Research Center of the State Council, said that the outstanding problems in China's manufacturing industry are still "neuropathy" and "heart disease." The former refers to the level of our CNC technology in CNC machine tools. The latter mainly refers to the manufacturing level of aircraft, ships and automobile engines, but the chip in information products is also a weak link. Therefore, solving these problems and promoting the transformation of manufacturing to China and China's intellectual development is one of the biggest challenges for us to shift from China's rapid economic growth to high-quality development.


Wang Hongguang, deputy dean of the China Academy of Science and Technology Development of the Ministry of Science and Technology, believes that there are roughly four “chemicalizations” in the next step of manufacturing. One is specialization, and large-scale dedicated equipment is used to achieve the world’s number one market. The second is personalization, the third is intelligent, and the fourth is integration.


Zhu Sendi, honorary director of the China Machinery Industry Federation expert committee, said that in the process of manufacturing from large to strong, it should focus on intelligent manufacturing, and at the same time combine China's national conditions to form its own strategy and path, which is a parallel strategy. That is, Industry 2.0 has to make up the class, Industry 3.0 has to be popularized, and Industry 4.0 has to be demonstrated.


The upgrading of the manufacturing industry will open up huge market space. CCID thinks that the manufacturing transformation spending in 2019 will reach 220.5 billion yuan. Ali Research Institute and other forecasts predict that by 2025, enterprise application cloudization rate and artificial intelligence utilization rate will reach 90%. Industry insiders predict that the deep integration of data, intelligence and manufacturing will lead to several ten trillion industries.


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