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Paths for the Digital Transformation and Intelligent Upgrade of China’s Discrete Manufacturing Industry
Xinyu Li, Zhaofu Li, Liang Gao
Strategic Study of CAE ›› 2022, Vol. 24 ›› Issue (2) : 64-74.
PDF(6303 KB)
PDF(6303 KB)
Paths for the Digital Transformation and Intelligent Upgrade of China’s Discrete Manufacturing Industry
The discrete manufacturing industry in China is currently being transformed and upgraded. Digital transformation and intelligent upgrade is an inevitable choice for China’s discrete manufacturing industry, as intelligent manufacturing can promote the quality, efficiency, and competitiveness of discrete manufacturing. The sub-sectors of discrete manufacturing in China differs significantly and requires diversified paths for digital transformation and intelligent upgrade. In this paper, we first summarize the typical characteristics of the discrete manufacturing industry, explore the challenges regarding the digital transformation and intelligent upgrade of the industry, and elaborate the common key technologies including advanced manufacturing, new-generation information, and new-generation artificial intelligence. Subsequently, we investigate four typical cases to present the frontier application progress in the field in China, and propose the following key development tasks: (1) achieving breakthroughs in keys enabling technologies for intelligent manufacturing, (2) developing intelligent manufacturing equipment, (3) building digital and intelligent workshops and factories, (4) providing digital and intelligent services, and (5) building standards and safety systems. Furthermore, it is necessary to accelerate pilot application, highlight domestication, increase the reserve of high-tech talents, and formulate relevant laws and regulations, to promote the high-quality development of China’s discrete manufacturing industry.
intelligent manufacturing / discrete manufacturing industry / digital transformation and intelligent upgrade / topological optimization / workshop scheduling / deep learning
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