The Quality Forecasting of Mass Customization Based on Support Vector Machines

Mass customization is a new mode of production which meets modern technological development and needs of customers; in such a mode of production, the quality control methods for product manufacture are different from traditional methods in mass production. Given the complexity of mass customization and its characteristics, the problem of quality is comprehensive; quality forecasting and simulation, online quality control are good methods to solve the problem of quality in mass customization. In this paper, SVM (support vector machines) is combined with practical problems in MC to solve the deficiency of artificial neural network and grey theory in quality forecasting, the quality forecasting model based on SVM is constructed, and the superior performance of SVM is proved through comparing with GM (1, 1) model. Finally, the method is validated by an example.