Study on Algorithm of Statistical Model for Improving Core Competitiveness of Manufacturing Industry Based on Digital Information Technology

Abstract

The aim is to improve the core competitiveness of China’s manufacturing industry, promote the development of digital information technology, break through the difficulties brought by China’s manufacturing industry to the high end, and enhance China’s international influence and comprehensive competitiveness. Method. The construction of the statistical algorithm model of the core competitiveness of the manufacturing industry is improved by using the statistical algorithm of the key points of the core competitiveness of the manufacturing industry. Different comparisons are made between the two groups of algorithms, such as comparing the core competitiveness evaluation results of different types of manufacturing industry and the coupling degree of core competitiveness, statistical model, and economic growth trend of manufacturing industry. The research results show that, under the control of digital information technology, the overall coupling degree of the statistical model is rising and has an obvious increase on the manufacturing economy. We promote the deep integration of digital information, artificial intelligence, and the real economy; realize the industrialization of key technologies in the manufacturing industry; and enhance the core competitiveness of the manufacturing industry. Driven by digital information, China’s manufacturing industry will enter the high-speed development lane, so as to promote the high-quality development of China’s manufacturing industry. It has provided a solid foundation for ensuring the steady and healthy development of people’s economy and promoted the transformation of China from a large manufacturing country to a powerful manufacturing country and from “made in China” to “created in China.”