Deep Learning-based Prediction Method for Quality Management Digital Transformation Maturity Research
Year: 2025
Type: conference-paper
Abstract: Aiming at the difficulty of assessing the maturity of digital transformation of quality management in manufacturing enterprises, an assessment index system is constructed based on hierarchical analysis, covering the three dimensions of technology, management and efficiency. The study adopts deep neural network to establish a prediction model, and verifies the effectiveness of the model through empirical analysis of 285 manufacturing enterprises. The prediction results show that the model has a coefficient of determination R² of 0.923 and a mean square error of 0.0068 on the test set, which improves the prediction accuracy by 15-30% compared with the traditional method. The research results provide scientific basis and quantitative tools for enterprise digital transformation decision-making.
Author: Jingshu Zhang
Institution: China National Institute of Standardization
Language: English
Subfield: Industrial and Manufacturing Engineering
Field: Engineering
Domain: Physical Sciences
Open Access status: gold
OpenAlex ID: W4413290091