Multivariate EWMA Charts with Variable Sampling Intervals
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M. H. Lee
Abstract
The standard multivariate control chart usually employs fixed sample size at fixed sampling interval (FSI) to monitor a process. In this study, a multivariate exponentially weighted moving average (MEWMA) chart with variable sampling intervals (VSI) is investigated. The MEWMA chart with VSI varies the sampling interval from the process as a function of the data from the process. The performance measure of the VSI MEWMA chart is obtained through a Markov chain approach and it is compared with the corresponding standard FSI MEWMA chart in terms of average time to signal for different magnitude of shifts in the process mean. It is shown that the VSI MEWMA chart is more efficient than the corresponding standard FSI MEWMA chart in detecting shifts in the process mean.
© Heldermann Verlag
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Articles in the same Issue
- Uncertainty and E-Learning
- Selection of Bayesian Single Sampling Attributes Plans Based on Polya Distribution
- Controlling Energy Utilisation at Reheat Furnace Using Time Series Model
- A Replacement Policy Based on Down Time for a Cold Standby System with Dependent Lifetime and Repairtime
- Inference on a Sharp Jump in Hazard Rate: A Review
- Multivariate EWMA Charts with Variable Sampling Intervals
- Quartile Double Rankled Set Sampling for Estimating the Population Mean
- Control Charts for Mean under Shrinkage Technique
- A Note on Maximum Entropy in Queueing Problems
- Gini's Mean Difference Based Time-Varying EWMA Charts
- A Note on the XIX IMEKO World Congress Fundamental and Applied Metrology
