Abstract: An effective multivariate process control charts for autocorrelated data from multistage processes was established, and the formula for calculating its average run length was given by combining statespace models and statistical process control methods. The correctness of the formula was verified by Monte Carlo simulation. Finally, the new method was illustrated with one real example to demonstrate the implementation steps. The results show that in control the chart has low alarm rate, while out of control it has high alarm rate.