On March 30, 2022, the World Economic Forum announced the eighth batch of global “lighthouse factories” list, adding factories of 13 companies such as Midea Group, Haier Zhijia and Beijing Oriental, which also makes China’s intelligent manufacturing “leader” reach 37.

These enterprises are distributed in automobiles, household appliances, steel products, medical equipment, pharmaceuticals, industrial equipment and other fields, and deeply integrate digital technology, system integration technology, intelligent manufacturing equipment and industrial Internet technology in the aspects of business process, management system, operation system and supply chain management. Significantly improved labor productivity, reduced quality TK-FTEB01 defects, shortened lead times, and improved customer satisfaction.

For example, by building a fully automated production system and extensively using artificial intelligence and advanced analytics technology, BOE has reduced unit costs by 34% and increased overall output by 30% in its Fuzhou production line. By building an AI-driven energy management system, the unit power consumption of the production line was significantly reduced by 39%, and the unit water consumption was reduced by 27%.

Their successful exploration experience in the field of intelligent manufacturing is inspiring more and more latecomers.

First, intelligent practice, from top-level design to specific implementation

To improve the competitiveness of the manufacturing industry with an TK-FTEB01 intelligent level, to create a new round of national strength in the industrial transformation, and to deal with the challenges of the current era of climate change and aging population, has become one of the key points in the new round of industrial revolution.

As the main direction of the construction of a manufacturing power, intelligent manufacturing is related to the global status of China’s future manufacturing industry, and it is more important to build a new development pattern and build a digital China.

From the report of the 18th National Congress proposed “the deep integration of informatization and industrialization to lead and drive the development of the entire manufacturing industry, the intelligent manufacturing as the main direction of the deep integration of the two”, to the “Made in China 2025” proposed that “2025, the key areas of the manufacturing industry will be fully intelligent, and the operating cost of pilot demonstration projects will be reduced by 50%. TK-FTEB01 The product production cycle is reduced by 50%, the rate of defective products is reduced by 50%, and then the “14th Five-Year Plan” intelligent manufacturing development Plan proposes that “closely follow the intelligent characteristics, take the process and equipment as the core, take the data as the basis, rely on manufacturing units, workshops, factories, supply chains and other carriers, Build a virtual-real integration, knowledge-driven, dynamic optimization, safe and efficient, green and low-carbon intelligent manufacturing system, promote the manufacturing industry to achieve digital transformation, network collaboration, and intelligent change, “from the top-level design to the specific implementation of a comprehensive deployment.

Driven by policy support, technological development and market demand, 5G, big data, cloud TK-FTEB01 computing, and artificial intelligence have accelerated integration and penetration into the manufacturing industry, especially in industrial fields such as steel, automobiles, equipment, electronics, and petrochemicals. Integration and cross-innovation have been deepened, which has promoted the performance improvement of manufacturing enterprises in aspects such as defect detection, precision processing, time series forecasting, and park management.

According to the data of the Ministry of Industry and Information Technology, in terms of supply capacity, the domestic market of intelligent manufacturing equipment meets the rate of more than 50%. In terms of promotion and application results, the production efficiency of pilot demonstration projects has been increased by 45% on average, the product development cycle has been shortened by 35% on average, and the rate of defective products has been reduced by 35% on average. New models and new forms of business such as discrete intelligent manufacturing, process-based intelligent manufacturing, network collaborative manufacturing, large-scale personalized customization, and remote operation and maintenance services have been emerging.

On the enterprise side, the first battery factory to be awarded the global “lighthouse factory”, the company targeted the two key needs of “real-time” and “accuracy” of defect detection in battery production, and with the support of big data analysis and artificial intelligence algorithms, reduced the product defect rate from PPM (one part per million) level to PPB (one part per billion) level.

These “lighthouse factories” so strong competitiveness, one is its visible strong technology research and development and production capacity, the second is to support intelligent manufacturing of a powerful information system. Such an information system can quickly and accurately collect real-time data from the production line, form control, management and analysis capabilities, and then realize a series of management functions such as production, quality, batch and traceability.

As one of the representatives of the “lighthouse factory”, how does Ningde era build a powerful information system based on its own business needs and lead the tide of the era of intelligent manufacturing?