How can the manufacturing industry achieve deep integration with advanced technology? How can intelligent manufacturing solutions meet the differentiated needs in different scenarios? On November 30, at the Digital Community Roundtable Dialogue at the 2022 Tencent Global Digital Ecology Conference, Si Xiao, President of Tencent Research Institute, had a conversation with Tang Daosheng, Senior Executive Vice President of Tencent, CEO of the Cloud and Smart Industry Business Group, and Shi Weiguo, CIO of TCL Industries. On the topic of exploring the path of intelligent manufacturing, they shared their experiences and thoughts on the digital upgrade of the manufacturing industry.
From left to right: Si Xiao, President of Tencent Research Institute, Tang Daosheng, Senior Executive Vice President of Tencent, CEO of Cloud and Smart Industry Business Group, Shi Weiguo, CIO of TCL Industries
According to data from the Ministry of Industry and Information Technology, from 2012 to 2021, the proportion of China’s manufacturing industry in the world has increased from about 20% to nearly 30%, and it has continued to maintain its status as the world’s largest manufacturing country. At present, China is the only country that has all the industrial categories in the United Nations industrial classification. Among the more than 500 major industrial products in the world, China ranks first in the world in the output of more than 220 products. Against this background, how to maintain the leading edge of China’s manufacturing industry and achieve sustainable innovation and development has become a key topic for the industry.
From O to 1 to N, taking advantage of technology, products and ecology, Tencent helps the digital upgrade of manufacturing industry
The report of the 20th National Congress of the Communist Party of China emphasized that “the focus of economic development should be placed on the real economy, promote new industrialization, and promote the development of high-end, intelligent, and green manufacturing.” With the support of policies, the construction of intelligent manufacturing has already progressed into deep water.
Tang Daosheng, Senior Executive Vice President of Tencent and CEO of the Cloud and Smart Industry Business Group, said that as the manufacturing industry develops towards smart manufacturing, digitalization has become very important. However, the industrial Internet is different from the consumer Internet. Every customer and every scene has unique needs, and it is difficult to scale it up. Therefore, we have also come to a conclusion: from 0 to 1, we can do benchmarking and demonstration projects, but how to go from 1 to N requires standardized products with strong adaptability and customized platform capabilities, and may even require There is an ecology of delivery, an ecology of services, and partners. Take your products to different customer groups to provide services.
Based on this understanding, in the past few years, with the industry as the center and digitalization as the assistant, from 0 to 1 to N, Tencent has formed a relatively mature solution from underlying technology to upper-level product application, and then to ecological co-construction. The industry provides standardized, highly adaptable, and customizable product capabilities.
In terms of underlying technology, Tencent has accumulated three basic cloud services of computing, storage, and network for many years, as well as PaaS services, security, audio and video, and database capabilities, which can provide a solid foundation for the digital upgrade of manufacturing companies.
When it comes to product applications, Tang Daosheng said, “This year, Tencent is more clearly focused on platform products in the industry Internet, and provides reliable platform tools for the industry ecology through in-depth technical capabilities.” Taking the manufacturing industry as an example, it involves Production, research and development, circulation, service, sales, customer service and other links, in the process of promoting the manufacturing industry to embrace the industrial Internet, Tencent has given full play to its years of experience, technology and products in C-end connection. Enterprises or partners can customize according to their own needs. Choose the right product or customized solution to realize the integration and intelligent upgrade of all aspects of intelligent manufacturing.
Take the AI quality inspection scenario as an example. In the past, factories needed workers to do quality inspections, and manufacturing companies generally faced challenges such as difficulty in recruiting workers and high training costs for workers. At the same time, the different working environments such as temperature and light, and the huge data in the quality inspection work all make manual quality inspection unable to do what it wants. In order to solve this problem, Tencent Cloud and its partners launched an AI quality inspection instrument. The one-stop intelligent solution can not only achieve 7*24 hours of continuous and stable high-quality quality inspection work, but also help manufacturing companies greatly improve inspection efficiency. , liberating quality inspection manpower and optimizing costs. A domestic manufacturing company uses the AI quality inspection instrument built by Tencent Cloud to save tens of millions of yuan in labor costs a year when 10 sets of equipment are continuously in full production.
While focusing on making products, Tencent also opens up its core technical capabilities, allowing partners to integrate, deliver, and customize based on Tencent’s products. Through the combination of their respective advantages, they will finally serve specific industry scenarios and promote the manufacturing industry. development of automation, digitization and intelligence.
In the era of stocks, digitalization has become the key to building core competitiveness for enterprises
At present, the international environment is complicated and uncertain, and with the gradual reduction of rigidly-needed products, the industry has entered an era of stock competition, and many companies are under tremendous pressure. Only by continuously improving efficiency and creating large-scale cost effects can enterprises continue to enhance their core competitiveness. TCL Industrial CIO Shi Weiguo shared the problems faced by manufacturing enterprises in sustainable development, digital transformation paths and needs from the practical perspective of TCL’s promotion of digitalization.
He said that in recent years, with the rapid development of China’s economy, China’s demographic dividend is gradually disappearing, and most of the traditional manufacturing industries are labor-intensive industries. In this context, in traditional or high-tech manufacturing industries, Two issues need to be urgently resolved: one is whether equipment and machines can be used to replace a part of labor, and the other is how to form knowledge accumulation to become the company’s platform capabilities.
If we look at these two issues together, replacing people with machines is, in a sense, what we call industrial automation today. Going to the upper layer, from the control layer of the entire software to data precipitation, then to data modeling, and finally forming a knowledge model, it is the industrial intelligence layer we are talking about today. The addition of the two, from a certain dimension, is what we call smart manufacturing today.
Digitalization is one of the key steps to realize intelligent manufacturing. Shi Weiguo pointed out, “We define digitalization as two disks, one is the basic disk, which is used to improve efficiency, and the other is the growth disk, which is to create a new business model. The first step of digitalization is to create connections first. With Intelligence can only be formed after connection and data precipitation.”
Based on this point of view, TCL has built a “3+2+N” digital blueprint. Among them, the role of the three main chains is to connect users, connect upstream and downstream, and connect employees. The first link is value creation, from product demand to final product development, listing, and delisting; the second link is value delivery, from the initial order acquisition to the final order delivery, and after-sales service system after delivery; the third link It is co-creation with consumers, starting from consumer needs to reverse production, and realizing management around the user life cycle.
In addition, the two auxiliary lines mentioned are the digitization of human resources and financial links; N represents the bottom line of the operating company including legal affairs, auditing, and compliance. In the end, TCL built an intelligent link from connection to data, and from data to accumulation, further accelerating digital development.
Talking about the digitalization process of manufacturing companies in various links such as procurement, production, management, HR, and administration, what capabilities are more needed from technology companies such as Tencent, Shi Weiguo said, “Every company has different needs for digitalization, and it is difficult to To form a unified standard, we hope that companies like Tencent can focus more on platform construction, extract attributes that are not strongly related to industry attributes, and form solutions that can be replicated, promoted, and customized, thereby helping us Focus more on business measurement and realize business innovation.”
What Shi Weiguo hopes is also the direction of Tencent’s long-term efforts. In the future, with the deep integration of digital technology and manufacturing, Tencent will continue to innovate technologies, products, and solution capabilities to help more manufacturing companies achieve business innovation growth and digital upgrades , so as to further promote the high-quality development of the real economy.
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