Control Charts Under Linear Trend,
NATIONAL UNIV OF SINGAPORE DEPT OF MATHEMATICS
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The performance of control charts is usually evaluated by assuming a step change in the process mean. However, it is more appropriate to evaluate the performance of control charts by assuming a drift in the mean for processes where a gradual drift models the shift in the mean more accurately. Three major methods for computing the average run length ARL of control charts assuming a step change in the mean are reviewed. Generalizations of these methods for computing the ARL of control charts assuming a drift in the mean are then examined. Average run length Cumulative sum Exponentially weighted moving average Integral equation Linear drift Markov chain Normal distribution Statistical process control.
- Statistics and Probability