The paper develops a Shewhart control chart based on the simulation method for monitoring separate variance components of the single-factor random effect model. AMonte Carlo simulation study is conducted to assess the performance of the proposed control chart. Numerical results indicate that the proposed control charts have competitive performance relative to the approximate regression control charts in terms of the average run length.