At present, Industry 4.0, which is dominated by smart manufacturing, is profoundly affecting traditional manufacturing in the fields of pharmaceutical equipment.
  What is the concept of “transparent factory”? According to the industry, a transparent factory is the foundation of a smart factory, which refers to data transparency, including the production of nodes and the production process are completely transparent. For example, it is possible to achieve the ability to “drill through the production of raw materials and equipment” and “process flow and product flow”. It faces not only production companies, distributors, but also user groups.
 
It is understood that following the industrial cannabis, the concept of "transparent factory" continues to ferment and will gradually extend to the field of pharmaceutical equipment. In the pharmaceutical equipment industry, “transparent factory” can be understood as the transparency of equipment production, including the selection of raw materials for equipment, the manufacturing process of equipment, the creation of various nodes of the product, and the transportation and circulation, all of which can achieve “transparency”.
 
“Transparent factories are equivalent to being fully open. While urging manufacturing companies to strictly control product quality and technology, they also provide more reliable and reliable traceable channels for pharmaceutical manufacturers and users, and help drug production to be safer and more secure.” Said.
 
Based on the realization of a transparent factory, it is closer to the smart factory. In the field of pharmaceutical equipment in China, it is still far from the dream of completely building a smart factory and realizing Industry 4.0.
 
On the one hand, China's pharmaceutical equipment enterprises are mainly small and medium-sized, and the technical strength is still very weak. Although the state attaches great importance to and supports smart manufacturing, most of the financial pressures need to be solved by enterprises themselves. It is understood that the technology, capital and talents required for the creation of smart factories are all difficult problems. Many enterprises are still in the industrial 2.0 stage, and the integration and application of automation and intelligent technology are still unskilled.
 
On the other hand, pharmaceutical equipment is the equipment used to produce the medicine. Its production needs to be combined with information on pharmaceutical production standards and production processes, and there are still large bottlenecks in equipment intelligence, workshop intelligence and complete plant intelligence. . Especially the pharmaceutical process problems, how to combine with intelligent production has certain difficulties.
 At present, the number of establishments of smart equipment for medical equipment is scarce, and there is a certain gap between the overall level and foreign countries. However, in some medical equipment fields, such as the packaging field, the application of new products such as smart packaging equipment and packaging machines has gradually spread and promoted, and the current development is better.
 
It is reported that pharmaceutical packaging enterprises integrate smart machines, storage systems and production facilities into virtual networks through the Internet of Things and service networks based on the realized digital production, intelligent manufacturing models based on transparent factories, big data analysis, and intelligent decision-making. - In the physical physical system (CPS), the automation and intelligence of the entire industry chain are greatly improved, and "smart factories" and "smart factories" are created.
 
The industry believes that data resource management, cloud computing, big data platforms, etc. can be applied to the construction of transparent factories, but it is not suitable for the construction of transparent factories, it can be used in transparent factories, and needs market support. Therefore, when faced with new concepts, China's pharmaceutical equipment enterprises need to analyze and judge according to their own situations and market trends to avoid blind follow-up.