Intelligent Quality Management:Theoretical Framework,Key Technologies,and Research Prospect
The rapid development of a new generation of information technology,such as big data,Internet of Things,and artificial intelligence,has provided opportunities for the transformation and development of the manufacturing industry.To enhance the competitiveness of China's manufacturing industry,it should focus on quality improvement,starting from the digital,network and intelligent transformation of quality management,to drive the upgrading of manufacturing industry.At present,there is no theoretical guidance for the upgrading and transformation of quality management in China's manufacturing industry.Therefore,it aims to propose the concept of intelligent quality management based on the current research progress and the actual development of China's manufacturing industry is this paper.The theory model of intelligent quality management from the technical,activity,and value dimensions is proposed,and nine key technologies(i.e.,Internet of Things,big data platform,cloud computing and edge computing,machine learning,machine vision,digital twins,wireless communication,visualization,and blockchain)and their application scenarios are introduced.Finally,the future researches of intelligent quality management are pointed out from the perspectives of theoretical research,technical research,and application research.This study can provide strong guidance for the transformation and upgrading of quality management in China's manufacturing industry by establishing the theoretical framework of intelligent quality management,exploring the development path of quality,and promoting the development of China's manufacturing industry with high quality.
NETL
NSTL
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