The hottest new understanding of intelligent manuf

2022-09-26
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Re recognize "intelligent manufacturing"

recently, the American expert Miller ingenuity, President and UE, put forward a very interesting point that we should pay attention to performance when selecting the well cover pressure tester: "I don't think intelligent manufacturing can save the American manufacturing industry at all." He claims to have intelligent factories, which adopt the latest technology from distribution to lighting system to automatic CNC machine tools, and even realize digital seamless connection from order inquiry to accounts receivable. But he believes that this does not mean that he has embarked on the road of manufacturing revolution

as a business owner, UE has put forward a very novel view. He believes that intelligent manufacturing needs to start from the top, not the bottom; Intelligent manufacturing starts from establishing new contracts with employees; Intelligent manufacturing starts with people, not machines

"the problem faced by many bosses is that they give up exploring the amazing potential of people and adopt automation technology instead. It's a big mistake!" It is obviously wrong for ue to emphasize the development of intelligent manufacturing and only focus on factory informatization and automation

"what's the problem? Because these bosses regard their employees as expendable assets. What they should do is to regard them as renewable resources and constantly renew them." UE pointed out his solution: first, starting from the top, establish the credibility of the leadership. Second, leaders need to respect their employees. Third, the leadership needs to have the quality of integrity

from the perspective of UE, factory informatization, automation technology and human resource construction are essential. While upgrading intelligent manufacturing equipment and technology, it is very important to improve the matching of employees' innovative ideas and training new skills, which shows the role of talents in the innovation process of manufacturing industry

talent is the key to intelligent manufacturing

trend: from an international horizontal perspective, Oxford University conducted a survey of 702 jobs in the United States in 2013. They predict that 47% of employees will definitely be replaced by machines in the next 10 to 20 years; The German government plans to improve the intelligence level of its manufacturing industry and build a smart factory to realize not only product intelligence, but also a fully intelligent 4.0 industry of production processes

industry 4.0

can machines really replace people? In the final analysis, machines are controlled by people. Imagine that 20 years ago, there were milling workers, fitters and other types of work in the manufacturing industry. In the new era, will there be new types of work such as "robot craftsman"? Will there be a fully intelligent factory depicted in science fiction films? The basic starting point of imagination is that the future will generally be presented in the form of "human + robot" combination of labor. What the manufacturing industry needs is more senior technicians and even executives who can "dance with machines" - if they do not understand intelligent manufacturing, it will be difficult to allocate production resources

"intelligent manufacturing is not equal to machine replacement." Gu Jiandang, President of Phoenix Contact (China) Investment Co., Ltd., believes that robots cannot completely replace humans, and intelligent manufacturing and robot self-development cannot be separated from professional technicians, and the new industrial ecosystem it spawns requires a large number of suitable labor. Therefore, if the support of intelligent talents cannot be formed, enterprises may fall into the transformation trap: there are intelligent factories, but no one operates them

the analysis of the United States in the advanced manufacturing innovation network points out that compared with Germany and Japan, American talents lack a generation to 1.5 generations of craftsman engineers who understand manufacturing technology. Therefore, the United States has formulated a plan to shorten the whole process from knowledge to production technology directly through innovation alliances

innovative talents are the most scarce resources

intelligent manufacturing is a high-tech production mode with full upstream and downstream coverage and full process customization. It "reloads and upgrades" the production chain of the manufacturing industry, which sets a new benchmark for the future development of the manufacturing industry and puts forward higher requirements. Talent is the key to intelligent manufacturing. An impressive passage in the second machine revolution: innovative talents are the most scarce resources. They can create new products, services or business models, and are becoming the main dominant force in the market. How to supply sufficient and appropriate talents to meet the "rigid demand" of a large number of talents is probably the most urgent problem

Miao Wei, Minister of the Ministry of industry and information technology, said at the meeting that the development of intelligent manufacturing should be promoted comprehensively and systematically from the aspects of talent training, concept updating, equipment progress, process improvement, network support, environmental safety and so on

professor of industrial economics, School of business, Renmin University of China, Xu Jiabin, member of the national manufacturing Power Construction Strategy Advisory Committee, pointed out: "in the process of intelligent manufacturing, although we can integrate it systematically, we rely heavily on foreign imports for key products, key technologies and key processes, and are often controlled by others in the process of realizing major projects and industrial innovation. We must look at others' faces and be seriously restricted by safety."

at the world intelligent manufacturing cooperation summit forum held on December 7, the Ministry of industry and information technology released the national intelligent manufacturing development plan (2016-2020). The plan specifically puts forward ten key tasks. Including accelerating the development of intelligent manufacturing equipment; Strengthen the common technological innovation that the spot market price of imported ore on the 7th of the key day increased by 2-5 yuan compared with yesterday; Build intelligent manufacturing standard system; Build the foundation of industrial interconnection; Strengthen the pilot demonstration and promotion of intelligent manufacturing; Promote intelligent transformation in key areas; Promote the intelligent transformation of small and medium-sized enterprises; Cultivate intelligent manufacturing ecosystem; Promote the coordinated development of regional intelligent manufacturing; Build an intelligent manufacturing talent team, etc

in short, intelligent manufacturing is to connect people, data and machines. It can be seen that innovative talents are the most critical link in the industrial chain of Intelligent Manufacturing - the first of the four elements of Intelligent Manufacturing: intelligent people, the evolution of interconnection from two-dimensional interconnected world to three-dimensional virtual world, and the most important role is human intellectual resources

the difficulty of intelligent manufacturing for 30% of enterprises lies in talents

the survey of the report on the current situation of Intelligent Manufacturing in Chinese manufacturing enterprises indicates that 87% of enterprises admit that their production lines are facing the pressure of rising human costs. The application of industrial robots to transform production lines has become the primary solution for enterprises to cope with the rising human costs. Secondly, they hope to improve added value by strengthening research and development. Among them, 85% of enterprises believe that it is possible to introduce intelligent manufacturing equipment in the next year. Among the enterprises preparing to introduce intelligent manufacturing equipment, 37% will use robots for production, 23% will be invested in digital monitoring and control systems, 10% want to introduce digital intelligent machine tools, and 9% will use 3D printing technology. And they are willing to invest boldly. We found that 51% of the respondents will spend at least 10% or more of the overall investment on the so-called intelligent manufacturing. In addition, there are more extreme, for example, almost a quarter of the surveyed enterprises will spend more than 20% of the overall investment on it. They hope to reduce costs, improve efficiency, improve production processes, improve quality, and promote technological innovation and upgrading through the use of intelligent devices

since intelligent manufacturing can enable enterprises to achieve small batches and multiple varieties of products, shorten the production cycle, reduce prices, optimize resources, improve energy efficiency and return on investment, why is 90% of domestic small and medium-sized enterprises still less intelligent? In addition to the cost of intelligent upgrading, what are the concerns of enterprises

according to the survey data, nearly 30% of the surveyed enterprises are worried that the existing basic measures or talents cannot match and adapt to these new production processes; Because machines are not only replaced by simple workers who sell their physical strength, enterprises need skilled workers, especially workers who can operate various intelligent robots independently and senior technicians who repair machines

the role of human in the process of intelligent manufacturing will be changed from server and operator to planner, coordinator, evaluator and decision-maker. It not only requires professional technicians to undertake the design, installation, modification and maintenance of intelligent equipment, so as to eliminate the error maintenance caused by improper selection of dial, but also requires the maintenance of relevant information physical systems and new network components

in addition, intelligent production also needs to continuously optimize the production equipment mode, framework structure, rules and regulations, and the corresponding requirements for management level are much higher than before

as the role and role of people in manufacturing change, intelligent manufacturing has higher and higher requirements for employees' professional level; Pay more attention to technical professionalism, skilled types of work are gradually reduced, and there are more and more dynamic positions. In order to better introduce intelligent equipment and improve production efficiency, enterprises need to reserve and cultivate more highly skilled talents and management talents in data science, software development, hardware engineering, testing, operation and marketing

in the critical stage of the transformation and upgrading of traditional manufacturing industry, more and more enterprises will face the embarrassing situation of "easy access to equipment and difficult demand for talents". This is also the core of UE's view - having an intelligent factory does not mean that it has embarked on the road of manufacturing revolution

therefore, the cultivation of intelligent manufacturing talents should be carried out first. The "intelligence" of intelligent manufacturing is informatization and digitalization, and "ability" is the ability of lean manufacturing. The core of intelligent manufacturing is the cultivation of intelligent talents. From the cultivation of lean talents to the cultivation of intelligent talents, this transition and step-by-step may also be the most important problem faced by manufacturing enterprises as long as they are put into material manufacturing

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