Enterprise data intelligence problems, manufacturing industry experiences “growing pains”

While making achievements in the development of intelligent manufacturing, we recognize that promoting in-depth reform of intelligent manufacturing is an inevitable requirement to comply with the wave of new generation scientific and technological change and industrial change, and it is also an urgent need to win the initiative of great power competition in the era of digital economy, and it is a key force to promote the high-quality development of China’s economy. At the same time, we also note that the current environment facing the development of digital intelligence in China’s manufacturing industry is more complicated, uncertain and unstable factors are increasing, which also makes some traditional enterprises with a certain history still face many problems in the process of digital intelligence transformation.

According to the “Digital Transformation Analysis Report of smes (2021)” released by the China Institute of Electronic Technology Standardization, about 79% of smes in 2021 are in the preliminary exploration stage of digital transformation, and about 12% of smes are in the application stage of digital transformation. From the specific industry point of view, the computer, communication, automobile, home and other industries in the deep application of enterprises accounted for a relatively high proportion, while the textile, chemical fiber, wood processing, metal smelting and other industries digital transformation process is relatively slow. Intelligence and digitalization go hand in hand, and the report also points out that the vast majority of enterprises are still in the preliminary exploration stage of digital intelligence.

FCP270 P0917YZ

FCP270 P0917YZ

What are the reasons for this? In the view of Tianji network, some enterprises at the forefront of digital intelligence are not fully aware of the necessity and importance of digital intelligence transformation, and it is difficult to promote digital intelligence strategy; After the epidemic, more and more manufacturing enterprises pay more attention to survival, and the demand for digital transformation is not strong; Lack of adequate funding for smes to advance digital transformation; There is a general shortage of digital talent in manufacturing; Enterprises establish many information systems, which do not integrate with each other to form information islands; Enterprises lack successful experience in digital intelligent transformation, and enterprises “will not turn”.

On the whole, the digital foundation and transformation conditions of smes are relatively weak, especially the digital equipment application ratio, the production process information system coverage rate and the equipment connection rate are low, and the transformation funds are relatively scarce, resulting in the slow process of digital transformation of smes.

How to solve these problems? First, talent is the foundation of all development, the cause of innovation calls for innovative talents, to promote intelligent manufacturing to enable high-quality development, need to further strengthen the construction of talent team; Second, to promote the high-quality development of intelligent manufacturing, we must give full play to the joint force of government guidance, market leadership and social coordination, and the key is to play the role of market players. Manufacturing enterprises should seek truth from facts and formulate data intelligence strategies according to local conditions, and realize enterprise data intelligence upgrading through intelligent manufacturing advanced technology according to the actual needs of enterprises.