An improved adaptive exponentially weighted moving average on Q-statistics(AEWMAQ)control chart was proposed to deal with the difficulty in implementing process quality control in mass customization caused by insufficient product quality characteristic values,unknown parameter conditions,and insensitive monitoring.A product family was formed through group technology,and the quality characteristic values of similar products were standardized by Q-statistics;the standardized data were used to draw an improved AEWMA control chart.By using this method,the problem of insufficient data sources under different parameters can be solved,and the insufficient monitoring sensitivity of control chart for small,medium and large deviation can be improved,and the control effect can be significantly improved.The results show that compared with traditional methods,AEWMAQ control chart has better sensitivity and stronger detection ability.