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Abstract
Control charts are widely used for the detection of shifts in process parameters. In this study, we propose some enhanced Shewhart-type control charts using improved estimators based on auxiliary characteristics. A general control charting structure is developed that can be used with different location estimators. Performance of the proposed charts is compared using average run length (ARL), extra quadratic loss (EQL), and relative average run length (RARL) as performance measures. Comparisons are made among different proposals and the existing counterparts. It is observed that the proposed charts offer improved detection abilities depending upon the correlation structures among different variables under consideration. An illustrative example is also included to highlight the applications in practical situations.
Acknowledgments
The author is thankful to the anonymous reviewers for the constructive comments that helped in improving the last version of the paper. The author would also like to acknowledge the support provided by the deanship of scientific research at King Fahd University of Petroleum and Minerals Dhahran Saudi Arabia for funding this work through project # FT131008.