The year 2022 is the year of China’s manufacturing industry. On April 18, the industrial development data for the first quarter of 2022 were released, of which the proportion of manufacturing industry was further increased, which was 28.9% in the first quarter, an increase of 1.3 percentage points year-on-year, reaching the highest value since 2016, and the development of high-end manufacturing industry was better. In the face of many adverse effects such as the spread of the epidemic and the shortage of supply chains, China’s manufacturing industry as a whole is seeking progress in stability, and the application of digital technology helps enterprises to meet difficulties, gradually promote industrial upgrading, and achieve high-quality development of efficient, intelligent, green and low-carbon.

Recently, Lenovo Infrastructure Solutions Business Group (ISG) China held an online seminar “Lenovo’s New IT leads the manufacturing industry to break the” number intelligence “. Tong Youhao, Director of the SME Development Promotion Center of the Ministry of Industry and Information Technology, Ning Zhenbo, Chief consultant of the Aviation Industry Information Technology Center of China, Su Hang, Director of the Digital Center of China Steel Research Group, and Song Tao, Director of large-scale manufacturing industry of Lenovo ISG China, four guests from different fields of “government, production, research and business” around the digital intelligence of the manufacturing industry. In-depth discussions were conducted from the perspectives of national policies, industrial environment, digital transformation needs, and green and low-carbon transformation.

Systematic thinking: Combing the business fabric and clarifying the digital scene “right medicine”

“If the algorithm, computing power, data, scene these four elements of enterprise digital transformation are sorted, the digital transformation of traditional manufacturing industry, scene first, data is the second element.” Su Hang mentioned in the seminar. Based on his own years of precipitation in the industry, Su Hang believes that algorithms and computing power can be improved by external forces, but in the face of complex upstream and downstream links of the industrial chain and multiple subdivision scenarios, the biggest obstacle that traditional enterprises need to overcome is how to comb out the digital scene of the business.

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“The right remedy” is the solution that Song Tao mentioned at the seminar. As a high-tech manufacturing enterprise, Lenovo has accumulated industry best practices in the process of its own transformation, and the endogenous practical experience has become a unique advantage for Lenovo to empower manufacturing enterprises, reducing the barriers for Lenovo to communicate with manufacturing customers. In the face of the personalized needs of special industries such as automobiles and steel, Lenovo also actively in-depth customers, co-create and explore with customers. At the same time, on some customer commonality issues, Lenovo has also created a set of common technology platforms and infrastructure solutions. Lenovo is continuing to establish industry benchmark practice cases through “endogenous externalization”.

Lenovo’s manufacturing industry transformation methodology has condensed into the “eighteen skills” of Lenovo intelligent manufacturing, which is fully presented in the “2022 Lenovo Manufacturing Industry White Paper” (hereinafter referred to as the “White Paper”). Song Tao introduced at the seminar, “eighteen martial arts” is Lenovo integrated the Ministry of Industry and Information Technology intelligent manufacturing maturity model and McKinsey Lighthouse factory two standards, the formation of an intelligent manufacturing standard, divided into four stages: the first is the construction of smart factories, the formation of intelligent manufacturing, to achieve data communication, visualization; The second is to improve end-to-end transparency and open up data according to business flow; The third is to harness the power of data to facilitate prediction and insight; Ultimately, intelligent decision making. Above these four levels, Lenovo also has corresponding scenario solutions.

Lenovo intelligent manufacturing eighteen skills, from the 2022 Lenovo Manufacturing Industry White Paper

At present, Lenovo and China Steel Research Group jointly build a smart computing platform, which is a representative case of cooperation between IT enterprises and manufacturing R & D departments. China Steel Research Institute has an urgent need for computing power in the research and development simulation of steel materials. Lenovo and China Steel Research Institute completed the main construction tasks of CISRI-Dlab material cloud computing system in just three months, creating a digital scientific research public service platform for materials, processes, testing and research. It can meet the hardware, network and storage requirements required for more than 10 multi-node large-scale computing tasks at the same time, providing a reference for the digital transformation of traditional industries.