Effect of measurement uncertainty on combined quality control charts

The accuracy of the measurement system is vital for reliable process monitoring using statistical control charts. applied chart’s effectiveness depends on system's performance. Measurement uncertainty can lead to incorrect decisions like unnecessary stops or failure intervene. In this paper, we investigated effect errors performance four well-established combined charts mean normally distributed processes: Shewhart-CUSUM, Shewhart-Crosier’s CUSUM, Shewhart-EWMA and Shewhart-GWMA To deal with considered additive error model. Detailed run length profiles these are studied in terms average (ARL), extra quadratic loss, relative ARL, comparison index through Monte Carlo simulations under different sizes errors. It was found that significantly reduce power Thus, multiple measurements scheme incorporated as a remedy effect. CUSUM performed best charts, while chart did worst. demonstrate highlight implications further, simulated dataset shift considered.