Cement is one of the industrial products that has a quality control process. Major component that consists of SiO 2 , Al 2 O 3 , Fe 2 O 3 , CaO, MgO and SO 3 as basic component in cement product. This research explains about quality control of major component of cement by using MEWMAcontrol chart.The way to measure the performance of the control chart is used ARL as the average run observation to find the first out of control data. ParameterARL 0 is the average run observation of in control data. In this research, it is assumed the data was in control. The optimization of ARL 0 by weighted parameter of MEWMA control chart for λ=1, that is equal to Hotteling T 2 chart. Optimal value of the weight parameter is determined by using the bisection method for then the variables did not show the outlier data. Finally, this research shows that cement production process is in control.
Compressive strength is one of the test factors used to determine whether cement production is in a controlled state or not. Portland type composite cement or PCC is the cement that is widely used in infrastructure development. The Cement of 3-days compressive strength, 7-days compressive strength, and 28-days compressive strength are the variables that will be controlled in this study. The normal distribution test and correlation test show that the data on each variable is normally distributed, and each variable has a strong correlation. Univariate cement control using the cumulative sum control chart (CUSUM) and multivariate control using a multivariate cumulative sum (MCUSUM) control chart is performed to obtain the best control results. Correlated variables show that control using a multivariate control chart results in fewer outs of control observations compared to a univariate control chart. This explains that the MCUSUM control chart is more sensitive than the CUSUM control chart in controlling observations of data out of control.
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