From smart manufacturing to value creation
The Chinese manufacturing industry has encountered various problems in the process of intelligent manufacturing. The first thing that everyone thinks of is to introduce automation and informationization to solve the problem. The actual situation is that it is difficult to achieve production efficiency and quality improvement simply by automation and informationization. Under the premise of existing production operations, simply use robots instead of manual processes to automate. And informationization, on the contrary, will lead to deterioration of production efficiency, and so on, resulting in a variety of new problems. There are many such cases, so how can we achieve true intelligence? In order to achieve intelligence, Mitsubishi Electric proposed in 2003 that two key integrations should be made. One is the convergence of AF technology and IT technology to achieve the overall value improvement, and the other is to use TVOE (maximizing value). Increase productivity by connecting people and equipment.
The intelligent manufacturing implementation method has three layers of architecture: physical layer, edge computing layer and information layer, physical layer is production site, and information layer IT system. If you only pay attention to the IT system, you can't achieve true smart manufacturing. The physical and information systems should be seamlessly interfaced organically, so the edge computing layer is critical. China is ahead of Japan in big data analytics applications in the cloud, but I am bluntly saying that China has not made particularly good progress in manufacturing. One reason is that the production site data is flowing out, resulting in security issues, another The reason is that the huge amount of unprocessed data, if transmitted to the cloud, causes a huge increase in costs. In addition, the site needs data analysis and seeks effective improvement measures. At present, the experience of China's manufacturing industry in using big data in the cloud is not enough. Efficient analysis of accumulated data will help improve product quality. This view is very important to the manufacturing industry and should be given enough attention.
The key to the success of intelligent manufacturing is that to fully understand the characteristics of the products produced by the company and the equipment being used, it is necessary to first sort out the existing business processes and systems, and clarify the matching between operations and products and production equipment, and then depict Clear blueprints for the future and advance the road map. It is important to accurately grasp the current strength of the company, aim at the goals of five years and ten years later, and then effectively promote the reform.