Affiliations: [a] Beijing Information Science Technology University, Beijing, China | [b] China Electronic Information Industry Development Institute, China
Abstract: Most high-end manufacturing systems have implemented online inspection and control. However, fuzzy attribute indexes can’t be monitored online. The establishment of fuzzy quality control chart cannot be ignored on high-end manufacturing process. Because of this, based on Taguchi quality loss function, this paper is focusing on the question of monitoring and measuring process capability. Firstly, According to the characteristics of fuzzy quality attributes, the fundamental problem is to solve the distribution of fuzzy quality control chart. It is proposed that the beta distribution is the statistical basis of the fuzzy control chart. Secondly, fuzzy set distance indexes were constructed on fuzzy control chart, after analyzing the Beta distribution characteristics. Finally, the model of fuzzy control chart and the calculation of process capability are put forward based on Taguchi quality loss function. The results show that Taguchi quality loss function was effective in construction of fuzzy quality control chart to decide if process capability is under control or not. By calculation of production process datas, this paper provides policy implications for monitoring and control of fuzzy attribute on manufacturing process. Methodologically, this paper verified a way that transferring the form of product qualification ratio to that can be used in fuzzy control chart.
Keywords: Fuzzy, high-end manufacturing, fuzzy set distance, quality loss
