From 1970s to 80s, manufacturers often heard this voice: if you do not use the MRP system, it is difficult to survive in the manufacturing industry for a long time. Now, too, in this era of information globalization, this statement is also applicable to intelligent manufacturing. End users in various industries are gradually transition to intelligent manufacturing, in order to obtain a higher manufacturing intelligence, so as to enhance product quality and productivity, in the fierce market competition in a place. It is particularly true in the food, beverage and life sciences industry, which is very strict in regulation. In these industries, manufacturers need to record and store each batch of production data, to prove that it can meet the requirements of good manufacturing practices (GMP) as well as industry regulatory requirements. FDA, EU and other regulatory agencies require manufacturers to make clear and detailed description of the manufacturing solutions of each batch, and retain the documents to prove that they have complied with these programs. In such applications, each production line needs to be integrated with the entire enterprise system so that the compliance data can be retained in the enterprise system. 　　　　　　　　　　　　　　　　　　　　　　　
In addition to ensuring compliance, biotech yaopin makers must also be able to access the data in real time, in order to effectively control the batch production. Each batch of products could be worth millions of dollars, with real-time data access functions, the operator can detect, immediately in the production process deviation tolerance and then, they will be able to in this batch of products can not be used or even completely obsolete before adjustment. Until a few years ago, the end user was the first to integrate the machine into the production line of the original equipment manufacturers and determine how to record and access data in order to meet the compliance requirements. 　　　　　　　　
Today, many manufacturers are not equipped with professional engineers to manage the use of data and security to meet operational requirements and increasingly stringent compliance requirements. They rely more and more on the professional technology of the original equipment manufacturer. Therefore, the original equipment manufacturers need to rethink how to make equipment to meet customer needs. When designing a machine, it is required to take into account the data acquisition, storage, and integration. Original equipment manufacturers need to determine what data to capture and how to process and back up the data and transfer the data to the MES system. 　　　　
In addition, they also need to determine what kind of network (more and more manufacturers choose EtherNet/IP), how to integrate with the enterprise network system and the network to meet customer requirements for the safety of IT. This usually requires the integration of intelligent devices in the device design. To meet the needs of customers, need to understand the needs of customers, making its current business layer facing the urgent demand of information systems and business systems, and OEM equipment need to be integrated into enterprise information and system. Transformation to intelligent manufacturing, the end user is not the only beneficiary. Original equipment manufacturers can rely on intelligent manufacturing to produce more reliable, more intelligent and more intelligent machines, to help customers improve product quality and OEE, so as to stand out in the fierce competition in the market. Original equipment manufacturers can help customers will machine data into meaningful information, improve customer management level of each production process and improve long-term customer support for the product, and thus enhance the cooperation between the customer relationship.