Shulou(Shulou.com)06/03 Report--

Data management has become the core competitiveness of enterprises, which directly affects the financial performance of enterprises. When the concept of "data assets is the core assets of enterprises" is deeply rooted in people's hearts, enterprises have a clearer definition of data management. As the core competitiveness of enterprises, sustainable development, strategic planning and use of data assets, data management has become the core of enterprise data management. The efficiency of data asset management is significantly positively correlated with the growth rate of main business income and sales revenue; in addition, for enterprises with Internet thinking, the competitiveness of data assets accounts for 36.8%. The management effect of data assets will directly affect the financial performance of enterprises.

The intelligent era needs the deep integration of information technology and manufacturing industry. driven by big data technology, the manufacturing industry will usher in a comprehensive transformation and upgrading to an intelligent manufacturing industry. So, how will big data promote the transformation, upgrading and intelligent development of the manufacturing industry? According to the data analysis, the development prospect of intelligent manufacturing can be summarized into the following two aspects.

1. Supply side: digital process monitoring to ensure product quality

In the era of large-scale manufacturing, the production line usually arranges quality inspection links at the end to eliminate defective products to ensure quality. However, due to the lack of effective and digital production process monitoring, engineers need to spend a lot of effort to find out the causes of defective products, coupled with the different causes of defective products, so it is very difficult for traditional manufacturing enterprises to reduce the rate of defective products.

With the support of big data technology, manufacturing enterprises can mark a proprietary radio frequency identification code for each product and record the production data of the product in the whole production process through this radio frequency identification code. Once there are defective products, engineers can use these data to inspect the entire production process, find out the defects in the production line and improve them, thus greatly reducing the defective rate.

Not only that, mass storage and cloud storage technology can keep the production data of the product for years or even decades until the end of the product life cycle. After the product is sold, the after-sales department of the manufacturing enterprise can dynamically monitor the user's satisfaction with the product and the problems with the product, and record them. These after-sales data can help manufacturing enterprises to further optimize product design and provide better, more durable and intimate products for the market.

two。 Demand side: accurately lock the market demand and realize mass customization

From the 1920s to the 1970s, "Ford" and mass manufacturing were all the rage. Large-scale manufacturing can create huge economies of scale, reduce production costs and improve the profits of large manufacturing enterprises. However, large-scale manufacturing also lost the personalization and diversity of products, "stereotyped" products can meet the market demand in quantity, but can not meet the personalized needs of consumers. Especially after the great wealth of material wealth, large-scale manufacturing gradually declined.

From the 1970s to the beginning of the 21st century, Toyota system, represented by Toyota Motor Company of Japan, advocated accurate positioning of market demand, flexible arrangement and adjustment of product lines to achieve "zero inventory" and "small batch" personalized manufacturing. However, personalized manufacturing with too small scale can easily lead to the instability of enterprise profits, which is not conducive to the long-term development of manufacturing enterprises.

From the beginning of the 21st century to now, a new manufacturing method, "mass customization", represented by Apple in the United States, has gradually taken shape. "Mass customization" by mining the data generated by users in the process of consumption, find several personalized product designs that are most popular in the market, and then carry out batch production according to these designs, and improve them timely according to user feedback.

Mass customization is a new product that combines "mass production" and "personalized" customization. it is internationally recognized as the development direction of the manufacturing industry. Big data technology can fully collect market data through the Internet and artificial intelligence algorithms. and then for manufacturing enterprises to achieve mass customization, to provide strong data support and technical support.

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