Abstract
To maintain process mean at a target value, process may be adjusted based on sample data. The variation of mean is swelled by excessive adjustment, however, subtle action can not reset the mean at the target level when the process mean has shifted. Therefore, in this paper, a loss function of linear adjustment based on the latest sample is derived and studied to search optimal adjustment rules, in the case of the amount of process change is random variable.
