Efficient Control Charting Scheme for the Process Location with Application in Automobile Industry

The recently introduced triple exponentially weighted moving average (TEWMA) chart is the extended form of classical EWMA and double (DEWMA) charts. On other hand, auxiliary information-based (AIB) homogeneously ( HWMA AIB ) used for monitoring process location shifts efficiently as compared to HWMA chart. Combining TEWMA with features a new idea not seen in literature until now. So, objective this study combine id="M2"> charts propose an AIB HWMA, symbolized id="M3"> THWMA further improve shift monitoring. proposed id="M4"> developed by combining plotting statistic into numerical results are computed using Monte Carlo simulation method. Average run length id="M5"> ARL ), relative id="M6"> , performance comparison index, extra quadratic loss tools id="M7"> EWMA, TEWMA, mixed HWMA-CUSUM (MHC), id="M8"> EWMA (DHWMA), id="M9"> EWMA-CUSUM id="M10"> MEC CUSUM-EWMA id="M11"> MCE Finally, practical application also provided users demonstrate study’s vitality.