| As a new production mode, mass customization provides a novel way for continually various and customization products of customers without sacrificing economic benefits for enterprises. But how to maintain the steady quality, continuous quality improvement of products becomes a serious problem for manufacturing enterprise. Given the insufficiency of the researches on the current quality control for mass customization, this dissertation tries to systematize quantitative thoroughly discussion for the related problems of quality control under mass customization. So the basic framework of quality control for mass customization is constructed, and the quality control for product design and production process of mass customization is emphatically studied.Firstly, solutions to the quality problems of three production modes are analyzed. In the views of inadequate data, deficient information and uncertainty in the quality control for mass customization, the ideas of establishing grey quality models is proposed.Secondly, a quality control system based on customer satisfaction is proposed for mass customization. On the base of thorough investigation quality control for mass customization characteristics, this system includes four aspects: customer satisfaction, requirement of customer improvement, quality control methods and tools, quality control information.Thirdly, based on the phased and gradualism need, the basic model of product design quality control under mass customization is put forward. And an integrated three times design model is set up with IDEF0 molding for mass customization. In accordance with the three times design and the robust design sequential, the IDEF3 process models of product robust design are proposed so as to implement the combination of mass customization product design and robust design.Fourthly, grey system theory is studied and applied to the quality control for mass customization. This dissertation introduces brief GM(1,N) model, the grey prediction theory, the specific application of grey prediction to quality control for mass customization production, and the evaluation and conclusion of the GM(1,N) model.Moreover, in the summary of the merits and drawbacks of grey system theory and neural network, and the feasibility and the necessity of combining them together, this dissertation extends the describing methods of neural network, and presents a modeling method of grey neural network ensemble for mass customization process quality control. Then the improved grey neural network ensemble is applied to process quality control of mass customization production.In conclusion, the cases are provided to for mass customization production quality control. And the prospects of this research also are presented. |
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