Author/Authors :
Raza, M.A Department of Statistics - Government College University Faisalabad - Faisalabad, Pakistan , Aslam, M Department of Statistics - Faculty of Science - King Abdulaziz University - Jeddah, Saudi Arabia , Farooq, M Department of Statistics - Government College University Lahore, Pakistan , Sherwani, R.A.K University of the Punjab Lahore, Pakistan , Bhatti, S.H Department of Statistics - Government College University Faisalabad - Faisalabad, Pakistan , Ahmad, T Department of Statistics - Government College University Faisalabad - Faisalabad, Pakistan
Abstract :
This study proposed a dual ExponentiallyWeighted Moving Average (EWMA)
statistics based nonparametric sign control chart to monitor the process deviation from
the targeted value. The performance of the proposed chart is compared with the
existing nonparametric version of the EWMA sign and Cumulative Sum (CUSUM) mean
control charts by using out-of-control average run length for various shifts in the process.
The simulation study showed the superiority of the suggested chart over the existing
counterparts. A real dataset is also considered for the application of the proposed chart.
Keywords :
Average run length , Binomial distribution , EWMA statistic , Nonparametric control charts , Statistical process control
