With the continuous development of science and technology, manufacturing has again become the commanding heights of global economic competition. How to improve quality and efficiency has become the direction of industrial manufacturing upgrading.
Shi Tianyou, an academician of the Chinese Academy of Engineering, said in a recent forum that information technology, energy, and enabling technologies will lead to the industrial revolution. Intelligent manufacturing is critical to the new round of industrial revolution. The emergence of new information technologies, such as big data, mobile Internet, cloud computing, artificial intelligence, and automation of knowledge work, allow us to conduct efficient, green, and environmentally friendly development. All this was achieved thanks to the development of new technologies.
It can be said that accelerating the development of the industrial Internet is an urgent need to further enhance China's Internet advantage. However, at present, although a large number of companies have begun to carry out intelligent, digital layout, but in the process of practice, the current industrial data can not support enterprises to make decisions, smart manufacturing is still a long way to go.
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Intelligentization, materialization, or networking should be typical representatives of the fourth industrial revolution.
“If we understand mechanization, electricalization, and automation as the typical signs of the first three industrial revolutions, then intelligence, object-oriented, or networking should be the typical representatives of the fourth industrial revolution.†Wang Zhonghui, deputy general manager of Dongxu Optoelectronics China Business Daily reporter stated that from traditional industries to intelligent manufacturing is an inevitable trend. The birth of the entire Internet of Things, big data and cloud computing, and the entire new generation of information display technology has provided technical possibilities for another revolution in industry.
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From an international perspective, the industrial Internet is a short board that China needs to make up for. China is a big country on the Internet, and the consumer Internet is leading the world. However, the industrial Internet, which is mainly composed of industrial Internet, still has a gap compared with European and American countries. Giving full play to the dual advantages of big manufacturing nations and internet powers, promoting the integration of the manufacturing industry and the Internet, and accelerating the development of the industrial Internet is an urgent need to further enhance China's Internet advantages.
In this context, China has issued “Made in China 2025†and “Guidance Opinions on Deepening the Integration of Manufacturing and Internet Developmentâ€, “Informatization and Industrialization Convergence Development Plan (2016-2020)â€, and “Smart Manufacturing Development Planning (2016) -2020) and other documents have provided guidance for the digital transformation of the manufacturing industry.
It is worth noting that Smart Manufacturing has been the highest priority in the "Made in China 2025," and clearly pointed out the ten industries that should be prioritized for development, including both new materials and energy and new energy. Automotive industry etc.
Lin Shiwan, co-chairman of the Industrial Internet Alliance Task Force, proposed at the 2017 Global Smart Industry Innovation Conference that in face of the new pattern of global market competition and the rise of the Internet and consumer culture, manufacturing companies must Product, production technology and even business model innovation, but also to optimize the level of business operations and production management, improve efficiency and performance, in order to respond to the ever-changing market changes, including large-scale, small batch, personalized, customized production demand. In this situation, smart manufacturing has become an indispensable coping strategy and means for enterprises. The informationization of the manufacturing environment is a necessary way to achieve intelligent manufacturing.
Among them, IFU is a key link in smart manufacturing. “In the past year, my colleagues and I have traveled to 31 provinces and regions across the country and ran through hundreds of different companies. Now our understanding of the entire IoT is to optimize existing processes. The second is to reform the traditional industries,†said Li Jian, vice president of the Tree Root Interconnect, who told the China Business Daily that, on the one hand, the IUT can help the traditional manufacturing industry to further reduce staffing and increase efficiency and increase value on the basis of the original manufacturing industry. Can help the traditional manufacturing industry to do business with lower costs and higher efficiency; on the other hand, it can help the traditional manufacturing industry and even other traditional industries to do something that they might not have imagined in a more novel way. For example, in accordance with the use of pay, the upgrading of the manufacturing industry to the service industry is unthinkable before the entire IoT technology.
In addition, as the demand for personalized customization continues to increase, companies are also demanding digital transformation, especially in the home appliance industry. Chang Fu Group’s director of information technology, Guan Fuxin, said that in the past, the model of the TV may not be changed during the year-end production line, and the same model will always be manufactured. Nowadays, more and more personalization and customization have been made. It may produce dozens or even hundreds of models in a year, and even sub-series will require intelligent manufacturing to provide support.
There are a lot of transformation problems
Although a large number of enterprises have begun to carry out intelligent, digital layouts, in the course of practice, current industrial data cannot support enterprises to make decisions.
Although many parties are optimistic, there are still many difficulties in the process of manufacturing transformation. Li Jian pointed out that even if IFU is of great significance, there are still three major problems in the course of practice:
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The first is how to connect those devices that are not currently connected to the Internet. According to the existing research data, at least 97% of the industrial equipment in the country's total amount of memory is not a "dumb" device without networking. While IFU is a very closed field, there are probably dozens of different protocols and thousands of different models on the market. In order to be compatible with these, networking different types of machines with different specifications is a difficult task. Second, there are many softwares on the market that meet the needs of customization. However, these softwares may be applied to only one link of a specific enterprise and are all single individuals. Thirdly, many companies now realize that they need the networking of machines, they need to implement intelligent manufacturing, and they need to be networked and digitized. However, after the network connection and the machine access, it will bring changes to what aspects of the enterprise. Many companies are still vague.
In this regard, Shi Leyuan, director of the Department of Industrial Engineering at Peking University, told the China Business Daily that industrial data analysis is an important foundation for supporting enterprise intelligent decision-making, although many companies have already started using ERP systems and MES systems long ago. The data is faulted in the middle. Even from the country to the industry level, attention has been paid to intelligent manufacturing focusing on Industry 4.0, but currently almost no manufacturing companies can make decisions based on optimized data. In the industry 3.0 era, the ERP system calculated the delivery date and purchase date data are not correct, and the MES system can only record what has happened. Even the inventory management system only regards inventory as a target. In fact, inventory is a neutral indicator. Inventory is more or less based on how the company maximizes the benefits. Pursuing inventory alone is not correct. .
Shi Leyuan, for example, said that even though many manufacturing companies have now paid more attention to and adopted customized and personalized production methods, at present, even very simple delivery times cannot be accurately given.
According to industry insiders, smart manufacturing is mainly a product of in-depth integration of information technology and industry, which can help us significantly improve the quality, cost, and efficiency, but this is different from the previous simple upgrade of hardware equipment, it will touch The company's processes and corresponding software and other aspects, including platforms, processes, and software. This also requires companies to make very large optimizations and improvements in organization, personnel, and processes. This is very difficult.
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However, whether it is from the maturity of the industry chain or the degree of support of the entire policy, it has reached an inflection point that can develop at a high speed. Zhu Huijie, deputy director of the Institute of Intelligent Manufacturing Development at the Institute of Mechanical Industry Information, also said in an interview with a China Business Daily reporter that smart manufacturing is still not a definite thing and is still undergoing dynamic changes. Similarly, there are various possibilities on the road to intelligent manufacturing. Each company must have a clear direction according to its own specific circumstances in the process of achieving intelligent manufacturing. It does not need to be exhaustive. After all, human and financial resources are limited. of. At present, smart manufacturing does not have a very clear definition. Research institutions, application companies, and even solution providers are all groping for it. In the process, it needs to be dynamically adjusted. Enterprises must see long-term changes in their industry after several years of change.
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