What kind of talents are needed to promote intelligent manufacturing

What kind of talents are needed to promote intelligent manufacturing

Currently, intelligent manufacturing has become the main way to promote industrial transformation and upgrading of China's manufacturing industry. But to realize the transformation of the traditional production mode to intelligent production mode, it is necessary to subvert the traditional production and manufacturing process of the relationship between people, equipment and factories, at the system level to make a complete transformation. Therefore, for enterprises, to promote intelligent manufacturing not only need professional planning and implementation of talent, but also need to be able to these intelligent equipment and systems for skilled operation of skilled personnel.

From traditional to intelligent, what changes have occurred in the manufacturing process? In traditional manufacturing enterprises, e-works will be the enterprise's manufacturing process is mainly divided into three levels: the first level is the product design, planning and decision-making, known as the digitalization of product innovation, mainly including product design and innovation process. The second level is process, production and execution, mainly including industrial design, manufacturing and equipment maintenance. The third level is skill and operation mainly includes the field operation and execution of the production workshop. But for the intelligent production and manufacturing process, these clear process divisions become blurred. In the smart manufacturing process, the work at each level will be integrated with each other, resulting in a flattening of the work structure. This integration between different levels requires a large number of technical theory and skills in one of the composite talents, but also make intelligent manufacturing in the talent demand level as a whole is upward trend. The goal of intelligent manufacturing is to realize the automation and intelligence of the production process, the system, equipment and people must maximize the integration, which greatly improves the system on the operation of human requirements. This is mainly reflected in three aspects: First, because the intelligent production system is more complex, the operator's ability to higher requirements, the operation of the staff must be able to have a relatively deep understanding of the entire production system, and skilled use of various types of industrial software for flexible production; Second, in order to ensure the stable and continuous operation of the intelligent production line, the enterprise needs to operate the staff in the operation of the skills at the same time, but also be able to achieve the production line Installation, commissioning and maintenance operations; Third, the intelligent production system, no matter how complex, it can only produce conventional products, enterprises in order to improve competitiveness, often based on the production of special processing products, and this product is likely to be unable to fully processed with intelligent equipment, must be manually operated, but its operation will be very complex, the operating skills of the requirements will be greatly improved. From traditional production and manufacturing to intelligent manufacturing, in addition to the production process more nature transformation, the enterprise's service model is also changing. This is first reflected in the traditional production and service are completely separate. Workshop is responsible for production, sales is responsible for marketing. Workshop operators are only responsible for receiving sales orders and producing products to meet customer requirements. Sales is only responsible for business negotiation, feedback customer needs to the production plant. There is no concept of connecting the workshop production directly to the customer. Intelligent manufacturing, however, has completely changed this. The goal of intelligent manufacturing is to connect the production line with the inventory, products and customers all together, constituting a large system, including intelligent production, intelligent factory, intelligent logistics and intelligent service. In this kind of manufacturing system, service and production are integrated, and the producer will directly face the customer for production, which is a brand new working mode, and the producer must have the ability to communicate with the customer as well as the concept of customized production according to the customer's needs. Intelligent manufacturing process of talent demand analysis of traditional manufacturing and intelligent manufacturing in the production process there is a huge difference between the intelligent manufacturing process determines a higher demand for talent, the enterprise to promote the planning, implementation and landing of intelligent manufacturing, the need for more composite talents with interdisciplinary background, that is, more talents with general, specialized and integrated skills. First, intelligent manufacturing has changed the requirements for people in the traditional production process, and has put forward higher requirements for practitioners' general skills such as professionalism, mobility, flexibility and collaboration. For example, nowadays, we are talking about machine for man, which can be completely realized in some mechanized and low-skill operation links. However, after the realization, the command, operation and operation of intelligent production lines and big data systems require more specialized talents, which are areas that cannot be replaced by machines. Practitioners need to be able to apply the knowledge and skills they have learned to build real industrial systems to cope with automated system failures. In addition, changes in the content of smart manufacturing jobs require practitioners to be multi-skilled in order to adapt dynamically to the complexity of the job requirements. The ability to quickly adjust their production adaptability to market demands, as well as to enable human-machine collaboration, is required." In the smart factory, people, machines and resources as in a social network in general communication and collaboration, cooperate with each other, remodeling the traditional manufacturing model of the mechanical relationship between people and equipment. Secondly, in the process of promoting smart manufacturing, many experts have realized that one problem is that enterprises are unable to clarify their needs, their own processes and internal business relationships. In the traditional manufacturing industry, there are CIOs or chief information officers, these CIOs may be IT origin, but for how the underlying data fusion and intelligent analysis of the lack of sufficient understanding of the lack of skills will affect the process of advancing the work of intelligent manufacturing. Therefore, enterprises need to focus on searching for or cultivating professionals who have a deep understanding of both upper-level information technology systems and automation technologies and solutions. In addition, automation bridges machine control and data acquisition, requiring PLCopen-based standardized programming, OPC UA, robotics applications and integrated systems planning and development of technical personnel. With the improvement of machine intelligence, integration, for automation itself, the demand for talent is also more different from the past, for the ability of software engineering, including software development, software quality and progress control of these integrated capabilities of the requirements of the past is higher. Third, enterprises need to be able to y understand the integration of IT and OT planning talent. This type of talent is mainly responsible for the design and planning of the intelligent manufacturing system, with the ability to coordinate the overall operation and planning. Due to the hierarchical structure, the skill requirements for talents are also very demanding. This type of talent must first understand lean production, understand the production process and technology, be able to classify the information through the organization to set the enterprise's manufacturing goals, and be able to coordinate automation, information technology and communication planning process, develop the implementation of the roadmap to promote the progress of the project and continue to promote the improvement of the design. At the same time, it can also carry out the integration of resources, including communication between internal departments and coordination of external forces, similar to a central node to coordinate all parties, set goals, put forward the needs of all parties, and define standard interfaces, design processes and inspections, as well as stage-by-stage monitoring of the goals. Summary Currently, with the vigorous promotion of China's intelligent manufacturing strategy, more and more enterprises are beginning to promote intelligent manufacturing transformation through the implementation of intelligent factory transformation. The latest survey shows that the vast majority of Chinese manufacturing enterprises are still in the Industry 2.0 remedial stage, in the intelligent manufacturing planning stage, generally face the problem of insufficient concepts and knowledge reserves, which directly leads to the implementation of intelligent manufacturing process can not be promoted. This is the main obstacle to the promotion of the current smart manufacturing strategy. In the author's view, in the face of this situation, the current need to address is how to cultivate smart manufacturing professionals from the educational and industrial levels.