What kind of intelligent spark can the Internet manufacturing industry collide

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Today, the integration of manufacturing and the Internet is the core of a new round of scientific and technological revolution and industrial transformation. Manufacturing industries around the world are emphasizing the concept of "intelligent manufacturing". Western manufacturing powers such as Germany and the United States have successively put forward strategic slogans such as "industrial 4.0" and industrial Internet, aiming to actively promote the deep integration of information technology and manufacturing technology, and then seize the opportunity of market competition.

 

China's manufacturing industry is "big" but not "strong"

At present, the main problem of China's industry is "big but not strong", first of all, the ability of independent innovation is not strong. Some key core technologies are missing and the product quality level is not high. Many of the high-end equipment needed for industrial development, chips and control systems in core areas rely on imports. Secondly, the situation of overcapacity in some industries is severe, the efficiency of resource utilization is low, environmental problems are prominent, the industrial structure is unreasonable, the problem of institutional constraints is prominent, and the low-cost advantage of production factors is gradually weakening. The third performance is that the cost pressure of manufacturing factors in China continues to increase, the constraints of resources and environment are increasing, and the institutional transaction cost of enterprises is higher. Low-cost competitive advantage has gradually disappeared, the traditional development mode is difficult to continue.

 

Create a new manufacturing ecosystem of "digital intelligence:

First of all, the government should clarify the main direction and "three positioning", that is, emerging industries, technology direction, mode of production. Secondly, it is necessary to fully implement the "Made in China 2025" and promote the supply-side structural reform deployment, take the development of intelligent manufacturing as a long-term strategic task, classify and layer guidance, and continue to advance step by step by industry. During the "13th Five-Year Plan" period, the popularization of digital manufacturing and the demonstration of intelligent manufacturing will be implemented simultaneously, with the goal of building a new manufacturing system and the implementation of intelligent manufacturing engineering as an important starting point.

At the enterprise level, it is necessary to formulate an intelligent manufacturing roadmap, strengthen the development of intelligent products and services, explore models that meet their own reality, actively participate in the formulation of relevant standards, and cultivate intelligent manufacturing-related products.

Industry organizations need to carry out CPS system research and development, develop system solutions, strengthen talent education and training, organize and promote multi-party collaboration and other aspects.

 

"Internet" to promote intelligent manufacturing should become a new mode of production

"Internet" can promote the innovation of industrial organization, network and flat become the new characteristics of enterprise organizational structure. From the perspective of production division, collaborative manufacturing has become an important mode of production organization; from the perspective of cooperation mode, network virtualization has become a new form of enterprise cooperation; from the perspective of marketing mode, e-commerce has enriched the sales channels of enterprises; from the perspective of supply chain management, network real-time has become a new trend of upstream and downstream cooperation in the industrial chain.

China's manufacturing enterprises also need to reduce costs and increase efficiency, improve quality and efficiency, so enterprises need to integrate traditional enterprise business with a new generation of information technology, intelligent technology, big data analysis technology, artificial intelligence technology and so on.