Why is it difficult for enterprises to realize intelligent manufacturing?

Yi Yun Science and Technology believes that the difficulty for enterprises to realize intelligent manufacturing lies in:

The first prerequisite for enterprises to complete the transformation from traditional manufacturing to intelligent manufacturing is to invest in some hardware equipment, such as sensors, robots, broadband, cloud data center capabilities and so on. This is a full-process, end-to-end change, so it can never be done overnight.

Enterprises need to establish their own industrial big data system. This big data system not only needs to contain external feedback information such as customers, markets and smart products, but also needs to summarize internal data information, including equipment status, logistics, production processes, energy consumption and other data.

Due to the development stage, a large number of China manufacturing group enterprises are still in the state of Industry 2.0, relying too much on traditional channels. During the rapid development of the first 30 years, there were too many system dividends, which led entrepreneurs to pay insufficient attention to refined management and craftsmanship. This is not conducive to the intelligent transformation of enterprises.