Research review on identification of key quality characteristics in manufacturing process
Correctly identifying and controlling the key quality characteristics(KQCs)of the manufacturing process is critical to ensure that the products meet the stringent function,performance and quality standards.With advancements in automation and information technology,data-based analysis has become the core of KQCs identification.This paper reviews the evolution of KQC identification methods from intuitive to data science techniques,and discusses the application of quality engineering,statistical models,machine learning,and deep learning in this area.The research suggests that combining traditional methods with advanced technologies can more effectively control KQCs.The article also suggests the future directions for optimizing manufacturing processes in intelligent manufacturing,leveraging advanced technologies and adaptive control strategies,which may provide a theoretical and practical guide for continuous innovation in quality control and promote the development of new productive forces.
国家科技期刊平台
NSTL
万方数据
