Set up a tabular CUSUM scheme for the flow width data used in Example 6.1 (see Tables 6.1 and 6.2). When the procedure is applied to all 45 samples, does the CUSUM react more quickly than the x chart to the shift in the process mean? Use σ = 0.14 in setting up the CUSUM, and design the procedure to quickly detect a shift of about 1σ.
Answer to relevant QuestionsConsider the loan processing cycle time data in Exercise 8.15. Set up a CUSUM chart for monitoring this process. Does the process seem to be in statistical control? x p50 18.05; p84 20.53; p84 p50 ...Consider the “minute clinic” waiting time data in Exercise 6.66. These data may not be normally distributed. Set up a EWMA control chart using = 0.1 for monitoring this process. Does the process seem to be in ...Consider the viscosity data in Exercise 9.9. Suppose that the target value of viscosity is µ0 = 3,150 and that it is only important to detect disturbances in the process that result in increased viscosity. Set up and apply ...(a) Add a headstart feature to the CUSUM in Exercise 9.1. (b) Use a combined Shewhart-CUSUM scheme on the data in Exercise 9.1. Interpret the results of both charts. Derive the variance of the exponentially weighted moving average zi.
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