Suppose that there are p = 4 quality characteristics, and in correlation form all four variables have variance unity and that all pairwise correlation coefficients are 0.9. The in-control value of the process mean vector u’ = [0, 0, 0, 0], and we want to design a MEWMA control chart to provide good protection against a shift to anew mean vector of y’ = [1, 1, 1, 1]. Suppose that an in-control ARL0 of 500 is desired. What value of and what upper control limit would you recommend? Approximately, what is the ARL1 for detecting the shift in the mean vector?
Answer to relevant QuestionsSuppose that there are p = 2 quality characteristics, and in correlation form both variables have variance unity and the correlation coefficient is 0.8. The in-control value of the process mean vector is μ′ = [0, 0], and ...Consider the p = 4 process variables in Table 11.6. After applying the PCA procedure to the first 20 observations data (see Table 11.7), suppose that the first three principal components are retained. Rework Exercise 11.7, assuming that the subgroup size is n= 5.3 m= 25 preliminary samples, n = 5 sample size, p = 10 characteristics, a = 0.005 (a) Find the phase II control limits assuming that a = 0.005. (b) Compare the ...Consider the data shown in Table 12E.1. The target value for this process is 200. (a) Set up an integral controller for this process. Assume that the gain for the adjustment variable is g = 1.2 and assume that = 0.2 in ...A 2 4-1 design has been used to investigate the effect of four factors on the resistivity of a silicon wafer. The data from this experiment are shown in Table 13E.4. Enter the factor levels and resist data into a Minitab ...
Post your question