1. The value of intelligent manufacturing
From “manufacturing” to “smart manufacturing” In the face of the strategic measures of various countries and the major adjustments in the global manufacturing competition, the “Made in China 2025” clearly stated that smart manufacturing is the main direction of the deep integration of the two industries. Advanced manufacturing is customer-centric, constantly responds to market demand changes, and integrates technological innovation, organizational innovation, and model innovation to achieve high-quality, high-efficiency, low-consumption, clean, and flexible production, thereby achieving ideal economic and social benefits. The general term for manufacturing systems.
And “smart manufacturing” refers to the development of advanced manufacturing industry to the current stage, integrating the new generation of information technology such as the Internet of Things, cloud computing, and big data, from centralized control to decentralized enhanced control, and through the integration of the Internet of Things and the Internet, And three integrations (vertical integration, end-to-end integration, and horizontal integration) to realize the latest form of intelligent and socialized production. Understanding “smart manufacturing” is conducive to better grasping the current position of China’s manufacturing industry and the direction of future efforts, and avoiding the tendency to blindly seek innovation and eager for success.
It can scientifically arrange the production process, improve productivity, realize personalized customized production, and adjust the use of resources to adopt the most energy-saving method, so as to truly realize the transformation and upgrading of the manufacturing industry. The most effective means of informatization is RFID technology. Everyone knows that there are thousands of spare parts, raw materials and product types in the production line or warehouse of modern manufacturing enterprises. As a result, in reality, no matter how good the management mode or system is, it is difficult to ensure the visual flow of the entire material, which brings great trouble to the management personnel, and it is difficult to greatly improve the work efficiency.
At present, all countries are using barcode and RFID technology to implement fast and accurate positioning and status statistics of spare parts and raw materials in production, so as to improve the production and management efficiency of manufacturing enterprises. In particular, RFID technology, a complete information management system for the production line of manufacturing enterprises, will help enterprises simplify business operations, reduce production costs, improve the real-time performance of material inventory, product tracking, material management, and inventory management. Enterprise customer service quality and satisfaction. With the continuous improvement of RFID electronic tag technology and the gradual reduction of costs, RFID technology has slowly replaced barcode technology.
Make good use of RFID technology, avoid fighting alone
2. Five stages of intelligent manufacturing development
The development of intelligent manufacturing is a process from the establishment of the system to the establishment of accurate models. To realize intelligent manufacturing, we must first solve the big problem of intelligent maintenance, then make intelligent predictions, and finally achieve a worry-free system and great value. Specifically, it is divided into the following five stages:
The first stage: total production system (TPS). Proposed by Japan, the established 5S standard (Sorting, Straightening, Cleaning, Cleanliness, Quality) was the core standard in the entire manufacturing system in the 1970s and 1980s, and it was solidified in the aspects of organization and personnel training.
Phase Two: Lean Manufacturing and 6-Sigma. Its core value is how to establish a management system based on data as a standard, the essence of which is to eliminate waste.
Under this foundation, it includes quality management system, product life cycle management system and so on. At this time, data really plays a role in the process of manufacturing and using.
Phase 3: Data-driven predictive modeling analysis. Data-driven predictive modeling analysis refers to how to make hidden problems explicit, and then solve hidden problems after explicitation to avoid the occurrence of explicit problems.
The fourth stage is the optimization of resource effectiveness operation decision-making based on forecasting. After the correlations generated in the past can be modeled, how to perform real-time dynamic optimization according to changes in system production, environment, and personnel factors.
The fifth stage, “Information-Physical” system. It is based on the very precise modeling of the environment and activity targets in which all equipment operates, and at this time, the application and inheritance of knowledge arises.
In the end, intelligent manufacturing must have the characteristics of state perception, real-time analysis, independent decision-making, and precise execution, making enterprises more flexible, smarter, and more integrated, and realizing most or all of the intelligent technology applications. The goal is to achieve knowledge acquisition , Large-scale utilization and inheritance.