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    [1] A manufacturing process involved in the production of plastic molds for a specific automotive application is under study. To control the mean thickness of this (normally distributed) process with a standard deviation, s = 3.0, chart is used with n = 5, LCL = 14.15, and UCL = 15.85. If the process means shifts to 15.2, find the probability that the shift will be detected on the:

    (a) first subsequent sample of 5 observations
    (b) second subsequent sample of 5 observations

    [3] Given the following information with regards to ( , S)-chart with n = 4:

    -chart: UCL = 510, Center line = 500, and LCL = 490

    S-chart: UCL = 12.9709, Center line = 6.5842, and LCL = 0.19753

    (a) what fraction of items are nonconforming if specifications call for 501 ± 5?
    (b) find the ARL if the process mean shifts to 493.

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    https://brainmass.com/statistics/standard-deviation/manufacturing-process-involved-in-production-of-plastic-molds-105463

    Solution Preview

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    Solution 1
    Here it is given that the process standard deviation s = 3, subgroup size n = 5, LCL = 14.15 and UCL = 15.85
    Now the Central Line (mean) is CL =(UCL+LCL)/2 =15
    Let denote the process mean. Suppose the process mean shift from 15 to 15.2.
    Let and denote the sample mean of first and second subsequent sample of 5 observations.
    Now the probability that the shift will be ...

    Solution Summary

    The solution describes the method to find the average run length and probability of detecting a shift in a manufacturing process.

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