Research on Product Quality Influencing Factors Based on ISM and Discrete Hopfield Neural Network
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DOI: 10.25236/ISMEEM.2019.129
Author(s)
Zhou Qinghua, Sun Jie
Corresponding Author
Sun Jie
Abstract
For the manufacturing enterprises, the 13 factors affecting the product quality factors are selected, the product quality influencing factors system is established, and the internal relationship and hierarchical structure between the factors are constructed by the interpretation construction model method. Then the products are constructed through the discrete hopfield neural network. The quality evaluation model was simulated by the Matlab neural network toolbox for product quality evaluation. The results show that the leadership's awareness and management ability, product design and specification, the degree of training and technical level of employees, and process feedback are key to improving product quality and provide reference value for enterprises.
Keywords
Product quality; interpretation construction model; hopfield neural network; influencing factors