The non-standard automated production line undoubtedly runs through various manufacturing processes such as factory design, production, management, and service. Not only does it improve production efficiency, but it also subverts traditional labor models and reduces labor costs. In the process of non-standard automated production lines, there are higher requirements for workers: professionalism, initiative, flexibility, collaboration, etc.
Firstly, professionalism. Automated equipment can replace some labor, but the command, operation, and maintenance of intelligent production lines and big data systems require more professional workers to make up for the shortcomings of machines. Workers need to be able to apply the knowledge and skills they have learned to build real-world industrial systems in response to automation system failures.
Secondly, initiative. The changes in job responsibilities in smart factories require employees to possess multiple job skills.
Thirdly, flexibility. Manufacturing factories will be able to quickly adjust their production adaptability according to market demand, reducing the physiological and psychological pressure of manpower; The new form of collaborative factories has made virtual and mobile work a reality; A multimodal and user-friendly intelligent assistance system will assist employees in their work and help them achieve more flexible employment methods.
Fourthly, collaboration. On the one hand, it is "everyone collaboration", and the division of labor operation mode between different professions will gradually be replaced by the cooperation mode. Intelligent manufacturing will make the connections between various aspects of manufacturing closer, and different occupational divisions will require more communication and cooperation. On the other hand, it is "human-machine collaboration". In smart factories, people, machines, and resources communicate and collaborate like in a social network, working together to reshape the mechanical relationship between control and passive response between people and production equipment in traditional manufacturing factory models.
With the large-scale application of intelligent manufacturing, there will be an increasing demand for personnel in the fields of intelligent manufacturing equipment and services such as data analysis, industrial software development, system integration, user interaction design, equipment debugging and operation maintenance. On the other hand, entrepreneurship increases employment opportunities. The "humanization" and low cost of the production process, as well as the distributed production and manufacturing method of 3D printing, have brought unprecedented opportunities for entrepreneurship and the development of small and medium-sized enterprises, bringing more employment opportunities.
Intelligent manufacturing can achieve high efficiency and precision in manufacturing, but it is often used to handle simple and mechanically repetitive operations. However, service work with high complexity, creativity, and flexibility still requires human competence, which is an important direction for future employment of workers.
With the development and rise of various emerging industries, the manufacturing industry of industrial automation control system devices will directly benefit. Non standard automation production lines have obvious effects of high efficiency, energy conservation, consumption reduction, labor cost savings, and promoting industrial upgrading, with huge potential for future development.