Abstract China is a big manufacturing country, and there are many things that can be done in the fields of industrial enterprise informationization, dataization and data innovation. The thinking of applying data has existed in ancient times, just like the so-called Internet thinking. In fact, the marketing principles of decades ago have been involved. The key is that we can pass...
China is a big manufacturing country, and there are many things that can be done in the fields of industrial enterprise informationization, dataization, and data innovation. The thinking of applying data has existed in ancient times, just like the so-called Internet thinking. In fact, the marketing principles of decades ago have been involved. The key is that we can connect data through appropriate technologies and tools for analysis and cross-border innovation applications. However, the problem has followed. How does the manufacturing industry view and recognize big data? Manufacturing is not an industry with developed information, which is reflected in the traditional rough process. Even with modern equipment, the overall informationization solution is mostly a manufacturer and a foundry of high-tech companies similar to certain equipment. In the era of big data, the manufacturing industry needs to strengthen some understanding of big data:
1. The manufacturing industry needs to be digitized, which brings accurate, advanced technology and excellent products to the industry. The digital concept can improve the overall level;
2. The manufacturing industry must first recognize the source of big data. After further digitization, the data generated in the production process belongs to the category of big data, which is attractive and challenging from the perspective of IT.
3. From the perspective of the manufacturing industry itself, the international digital manufacturing of the “Industry 4.0†slogan represented by the Internet, and the information technology represented by the Internet of Things occupy an important platform for the manufacturing industry. What is classified as traditional is that there is no layout of enterprises, but also faces the situation of being eliminated.
4, through IT technology enhancement, especially big data technology represents a new manufacturing industry revolution, the key technology of industrial transformation can achieve rapid transformation of reality through the upgrading of IT technology.
So how does big data change manufacturing? Here are a few ways that foreign manufacturing is changing:
1, high precision. Before investing in big data, investing in good equipment is a good way. Now big data manufacturers are used to optimize the entire process, and errors can be analyzed to prevent errors.
2, high output. Many manufacturers buy raw materials to make finished products, and the selling price is higher than the manufacturing cost. It is profitable for manufacturers to obtain high-yield business operations in the system. Big data applications can better help manufacturers understand the overall output and improve the way they operate, making products more profitable.
3. Better predictions. Supply chain and demand forecasting are two key tools. It is possible to determine production volume and control production schedules and inventory and shipments in the warehouse. Big data can well grasp the process changes of the supply chain relationship, and can choose good production conditions to start.
4. Track performance. For example, if a supplier provides a poor quality product, Big Data can calculate the likelihood, then decide and decide to choose a new partner maintenance cost.
5. High traceability. Big data makes the process of the manufacturer transparent and traceable. How much loss does the manufacturer's raw materials have in the production process and in the production phase? How much is the given batch output, where is it currently stored? How long does it take to ship, and where is the product if it needs to be shipped? Big data can help manufacturers track production and Deliver all of these stages and provide insight and analysis of areas that may be inefficient.
6, high custom. Big data recommends the use of raw materials to create advanced customization work by acquiring data. It can actually be seen as taking reverse engineering and providing new solutions.
7. Return and operational efficiency. Big data gives manufacturers a deep understanding of the true efficiency of operations, such as new devices or advertising strategies.
What should manufacturers do to make reasonable use of them?
1. Higher profitability. In the past, in the field of factors such as cost and production constraints, cost reductions have benefited each production operation. Companies are looking forward to such opportunities to get more revenue.
2. Greater competitive pressure. Manufacturers are using big data strategies to put pressure on competitors, and they are forcing more and more companies to adopt strategic changes to upgrade, and future technologies will be active.
3. New role requirements. New technologies bring more challenges and require professional staff to implement and manage, so the team recruits the talent they need.
Conclusion: The industrial revolution is coming, the whole field is facing the impact of big data, and technology is also facing a leap. In the future, if production is to continue, manufacturers should be encouraged to adopt data collection, storage and analysis.
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