In the future, large-volume production and low-cost labor-intensive industries will be relocated in large quantities. Small-volume, customized flexible manufacturing capacity will become the mainstream of China's manufacturing industry. The so-called flexible production refers to the realization of mutual conversion between small batch production and large batch production on the production line on the basis of ensuring product quality. As we often mentioned, mass customization is only an important form of flexible production, not a universal standard. During the implementation of flexible production, the application of intelligent robots has become an important driving force for achieving the optimal goal of flexible production. The key to "machine substitution" is to achieve software flexibility, automatic programming, and automatic operation. It mainly solves the problem of high labor costs encountered by enterprises during operation. On the other hand, in the application process of robots, it can indeed improve the efficiency of related operations, but it does not necessarily improve the overall efficiency of the enterprise. To make the robot fully play its role, it also needs to integrate production, manpower and information Simultaneous planning of infrastructure and production line infrastructure construction will integrate robot applications into the overall process of industrial production. Supply chain collaboration is the foundation of flexible manufacturing. In the process of achieving supply chain collaboration, it is necessary to achieve the consistency and unification of information in all links of the industry chain. ERP is enterprise resource planning management, MES is a factory-oriented management information system. Most manufacturing enterprises ERP and MES are two sets of systems, the two are independent of each other, and the intelligent management system in the world can realize ERP , MES integration and collaboration, further docking with public big data, real-time analysis and sharing of order data and demand data, to establish a real-time collaborative supply chain. Reference: kknew
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