Research on the Formation Logic and Leap Path of New Quality Productivity Based on Intelligent Manufacturing
Intelligent manufacturing is the key lever of the manufacturing industry to realize high-quality development,and also an important form of new quality productivity in the upgrading and development of the manufacturing industry;through intelligent manufacturing the formation of new quality productivity in the manufacturing industry can be accelerated so as to further promote the implementation of the strategy of a strong manufacturing country.The formation logic of new quality productivity based on intelligent manufacturing mainly includes four logics,i.e.the technological inno-vation driven logic,the production model transformation logic,the production factors integration logic and the collaborative symbiotic development logic,which respectively show the qualitative state of high efficiency,flexibility,networking and self-optimization.With the continuous science and technolo-gy innovation and the continuous empowerment of digitalization,the new quality productivity in the future will leap to the tough,knowledge-based,ecological and wisdom-based new quality productivity.Intelligent manufacturing provides a strong driving force for China's manufacturing power strategy,but there are still difficulties in the development of new quality productivity based on intelligent manufac-turing,such as the lack of key technologies,the shortage of high-end talents,the poor allocation of resources,and the lower degree of human-machine collaboration.Overcoming key technology difficul-ties is the basic guarantee for the leapfrogging of new quality productivity,cultivating high-end talents is the supporting condition,optimizing resource allocation is an important driving force,and deepening human-machine symbiosis is the advanced goal.Efforts in these areas will help to form a higher level of new quality productivity based on intelligent manufacturing,thus providing support for the high-quality development of China's manufacturing industry.
万方数据
维普
