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Question about Statistical quality control
Small boxes of NurtraFlakes cereal are labeled "net weight 10 ounces." Each hour, random samples of size n = 4 are weighed to check process control Five hours of observations yielded the following:
Weight
Time Box 1 Box 2 Box 3 Box 49 a.m. 9.8 10.4 9.9 10.310 a.m. 10.1 10.2 9.9 9.811 a.m. 9.9 10.5 10.3 10.1Noon 9.7 9.8 10.3 10.21 P.M. 9.7 10.1 9.9 9.9
Using these data, construct limits for x- and R-charts. Is the process in control? What other steps should the QC department follow at this point?
I have already answered the questions. What I need help is with the Excel Solver, that's where I am having problems. It is within control. And the QC department should increase the sample size to provide a clearer indication as to both control limits and whether or not the process is in control. And the smallest mean is 9.9 and the largest is 10.2 and the largest sample range is 0.6. I am just having problems with the Excel Solver.
The mean factor A sq 2 = 0.577 sample size 5The upper range D 4 = 2.114 sample size 5The lower range D 3 = 0 sample size 5These are used in the formula to receive the UCL and LCL
In Bayonne, New Jersey, there is a large beauty salon and a number of smaller ones. The total demand function for hair styling per day is Q=180-10P, where P is in dollars.
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