The Internet is the foothold of bearing enterprise industry

Industrial big data is the Internet, combined with the product of big data and industry. Is made in China in 2025, national strategy, industrial Internet is bearing enterprise foothold. For manufacturing, understand the industry background of big data, summarize the industry classification and characteristics of big data, data flow, promote their own value creation, reconstruction process, is of great realistic significance for manufacturing. Industrial value. Big data industry how to change the manufacturing process of 1, higher precision manufacturing high success rate is a manufacturer's core competence, the best way to provide large data is better equipment or better training staff, but both cannot reduce additional loss caused by the failure rate is too high. However, for large data, wafangdian bearing manufacturers can use a computer program to optimize the process and more intelligently analyze error, so as to prevent these errors. 2, higher yield most manufacturers purchase raw materials and finished products, its sales price higher than the cost of manufacture. In this system, manufacturers can get higher profits ( Each raw materials used in the finished product is less) , the more business profitable. New big data applications enable manufacturers to better understand the whole production, and have the opportunity to improve its production operation method, production products gain more profits. 3, can better predict manufacturers according to the situations in advance judge need to production product quantity, reduce the production in the off-season, as well as in the warehouse inventory or shipments. Big data can help manufacturers to better understand the change of supply and demand, so it can be the most productive under the production conditions of production. 4, to predict and identify the pros and cons of vendor products manufacturers can also use big data to track the pros and cons of suppliers. For example, if the supplier provide a higher proportion of inferior product, use the big data calculation proves that these things can be sure to choose new supplier is more cost effective. 5, the higher the traceability of big data also make the process more transparent and traceable manufacturers. Raw material manufacturers in the production process and production loss? In view of the mass production, now shop in where? How long does it take to delivery? Once the product need to transport, where is the product? Big data can help manufacturers to track all stages of production and delivery, and provide insight into and analysis of the potential inefficient zone. 6, senior custom work, according to data on past efforts to get the data, create more raw material the use of the method is very good, may create advanced customization. It can also help manufacturers to reverse engineering, and puts forward a new solution to familiar problems. 7, return on investment and operating efficiency big data enable manufacturers to a detailed understanding of the real operating efficiency and upgrade when the return on investment ( ROI） , such as new equipment or new advertising strategy. What does this mean for the maker? Higher profitability traditional manufacturing restricted by factors such as the cost of raw materials and production limit, the arrival of the big data increase the profitability of production, cost is greatly reduced, business owners can take advantage of these opportunities, earn more money. Greater competition as manufacturers use big data strategy, competitor felt the pressure of a similar or even better way. As more and more competition forces more and more manufacturers to upgrade traditional internal system, technology development in the future will be more and more active. The needs of the new role of lean data applications for outsiders or not familiar with data analysis of the staff is very challenging. New technology is impressive, but they need to have enough knowledge and experience to their implementation and management of the personnel management. Therefore, manufacturers need to professionals or company to help complete these changes. At present, with the popularity of big data, is more and more traditional manufacturing industry should be improved continuously. In the fierce competition in the new era, great changes in the data to the manufacturing will trigger a new industrial revolution? I believe that you already have your own answers.