Samples of size n = 5 are taken from a manufacturing process every hour. A quali
ID: 3204251 • Letter: S
Question
Samples of size n = 5 are taken from a manufacturing process every hour. A quality characteristic is measured, and X and R are computed for each sample. After 25 samples have been analyzed, we have sigma_i = 1^25 x_i = 662.50 and sigma_i = 1^25 R-I = 9.90 The quality characteristic is normally distributed Find the control limits for the X and R charts. Assume that both charts exhibit control. If the specifications are 26.40 plusminus 0.50, estimate the fraction nonconforming. If the mean of the process were 26.40, what fraction nonconforming would result?Explanation / Answer
Solution
Back-up Theory
Let xij represent the jth measurement in the ith sub-group, j = 1, 2, , ni and j = 1, 2, , k where ni = size of the ith sub-group and k = number of sub-groups.
Average of the ith sub-group, say xi(bar) = (sum over j of xij)/ni
Grand average, say x(double bar) = {sum over i of xi(bar)}/k
Sub-group Range, say Ri = Max measurement – min measurement of ith sub-group.
Average Range = (sum over i of Ri)/k
Control Limits for x(bar) = x(double bar) ± A2.R(bar) [values of A2 are available in Standard Tables of Control Charts Constants]
Control Limits for R = lower: D3.R(bar); upper: D4.R(bar) [values of D3 and D4 are available in Standard Tables of Control Charts Constants]
Standard Deviation, = R(bar)/d2 [values of d2 are available in Standard Tables of Control Charts Constants]
Under the assumption that measurements follow Normal Distribution, given the specification for measurement as
s ± t, proportion of measurement not conforming to specification is given by
P[Z < {(s - t) - x(double bar)}/] + P[Z > {(s + t) - x(double bar)}/], where Z is the Standard Normal Variate whose probabilities can be read off from the Standard Normal Tables]
Now, to work out the solutions,
We have ni = 5 for i, k = 25, A2(5) = 0.577, d2(5) = 2.326, D3(5) = 0, D4(5) = 2.114
Part (a)
x(double bar) = 662.50/25 = 26.5; R(bar) = 9.00/25 = 0.36
Control Limits for x(bar) = 26.5 ± 0.577x0.36 = 26.5 ± 0.2077 = (26.2923, 26.7077) ANSWER
Control Limits for R = lower: 0; upper: 2.114x0.36 = 0.7610.
So, the limits are: (0, 0.761) ANSWER
Part (b)
= 0.36/2.326 = 0.1548
Given specification is: (25.90, 26.90), proportion of measurement not conforming to specification
= P[Z < {(- 0.6/0.1548)/ + P[Z >{(0.4/0.1548)}]
= P(Z < - 3.876) + P(X > 2.584) = 0.0001 + 0.0049 = 0.005 = 0.5% ANSWER
Part (c)
Given setting is at 26.40, replace x(double bar) by 26.40 in the above (b) part calculations.
Proportion of measurement not conforming to specification = P[Z < {(- 0.5/0.1548)/ + P[Z >{(0.3/0.1548)}]
= P(Z < - 3.230) + P(X > 1.937) = 0.0006 + 0.0244 = 0.025 = 2.5% ANSWER
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