Digitalization is closely related to informationization, which, like automation, is the biggest investment in industrial intelligent transformation. With the rapid development of information technology, everything can be digitized, from people to products to devices, connecting everything.

Products can be digitized through PLM/ERP software from product development and design, material procurement to production and delivery. Every product drawing, every material information and every production process are digitally connected together.

The equipment can transmit operation data to MES, Internet and other networks through PLC and sensors, so GE can optimize its operation parameters and reduce fuel costs by analyzing the data returned by aircraft engines, and Google can realize unmanned driving of cars.

This means that for the first time in the era of "Industry 4.0", it is possible to connect resources, information, goods and people digitally! This communication includes the exchange of information between people, people and products, people and machines, products and machines, and machines and machines.

The characteristics of each industry and the basis of the enterprise are different, and the sequence of digitalization is different. I think for those process-based manufacturing industries, because most of their manufacturing processes have been connected, and the degree of automation is high, some equipment data can be automatically collected, the difficulty of digitalization is relatively small.

However, for discrete manufacturing industries such as machinery and equipment, textile and clothing, electronic appliances, household goods, etc., it is difficult to realize the connection due to the scattered manufacturing processes and parts, and the large number of parts, even if the realization of the cost will be very large. What works for these industries is not to do it all at once, but to do it gradually. Lean continuous production techniques are used to connect major processes to materials.

Due to the immaturity of technology and huge investment, every enterprise needs to weigh the timing of import, and consider the return on investment, system reliability, information security risk, talent reserve and other issues comprehensively, just like automation.

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