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When the out-of-control ARL corresponds to a shift of 1 standard deviation in the process mean, what are the characteristics of the CUSUM procedure that has ARLs of 250 and \(4.8\), respectively, for the in-control and out of-control conditions?

Short Answer

Expert verified

\(h = 2.015 \cdot \sigma .\)q

Step by step solution

01

Step 1:To Find the Kemp Nomogram

First: Locate and connect desired ARLs on the in-control and out-of-control scales; Second: Solve for\(n\)equation

\({k^\prime } = \frac{{\Delta /2}}{{\sigma /\sqrt n }}\)

and round\(n\)up to the nearest integer.

Third: Use second line to connect the point on the\({K^\prime }\)scale with the point on the in-control ARL scale. Note where this second line crosses\({h^\prime }\)scale. Then\(h\)is

\(h = {h^\prime }\frac{\sigma }{{\sqrt n }}\)

Locate 250 on the in-control ARL scale, and\(4.8\)on the out-of-control scale and extending to\({k^\prime }\)scale on the Kemp Nonogram gives\(k = 0.7\).

Solve for\(n\)equation

\({k^\prime } = \frac{{\Delta /2}}{{\sigma /\sqrt n }} = \frac{{\sigma /2}}{{\sigma /\sqrt n }} = \frac{{\sqrt n }}{2}\)

because of shift of 1 standard deviation in the process mean, which yields

\(n = 1.96 \approx 2\)

Connect connect\(0.7\)on the\({K^\prime }\)scale to 250 on the in-control ARL scale and extending to\({h^\prime }\)you get\({h^\prime } = 2.85\)(Cusum procedure). Find\(h\)from

\(h = {h^\prime }\frac{\sigma }{{\sqrt n }}. = 2.85 \cdot \frac{1}{{\sqrt n }} \cdot \sigma = 2.015 \cdot \sigma \)

02

Step 2:Final proof

The out-of-control signal results when one of\({d_i},e_i^\prime s\)is larger than\(h\).

\(h = 2.015 \cdot \sigma .\)

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Most popular questions from this chapter

Consider a\(3\)-sigma control chart with a center line at\({\mu _0}\)and based on\(n = 5\). Assuming normality, calculate the probability that a single point will fall outside the control limits when the actual process mean is

a. \({\mu _0} + .5\sigma \)

b. \({\mu _0} - \sigma \)

c.\({\mu _0} + 2\sigma \)

Refer to the data of Exercise 22, and construct a control chart using the\(si{n^{ - 1}}\)transformation as suggested in the text.

The following numbers are observations on tensile strength of synthetic fabric specimens selected from a production process at equally spaced time intervals. Construct appropriate control charts, and comment (assume an assignable cause is identifiable for any out of-control observations).

\(\begin{array}{*{20}{r}}{ 1. }&{51.3}&{51.7}&{49.5}&{12.}&{49.6}&{48.4}&{50.0}\\{ 2. }&{51.0}&{50.0}&{49.3}&{13.}&{49.8}&{51.2}&{49.7}\\{ 3. }&{50.8}&{51.1}&{49.0}&{14.}&{50.4}&{49.9}&{50.7}\\{ 4. }&{50.6}&{51.1}&{49.0}&{15.}&{49.4}&{49.5}&{49.0}\\{ 5. }&{49.6}&{50.5}&{50.9}&{16.}&{50.7}&{49.0}&{50.0}\\{ 6. }&{51.3}&{52.0}&{50.3}&{17.}&{50.8}&{49.5}&{50.9}\\{ 7. }&{49.7}&{50.5}&{50.3}&{18.}&{48.5}&{50.3}&{49.3}\\{ 8. }&{51.8}&{50.3}&{50.0}&{19.}&{49.6}&{50.6}&{49.4}\\{9.}&{48.6}&{50.5}&{50.7}&{20.}&{50.9}&{49.4}&{49.7}\\{ 10. }&{49.6}&{49.8}&{50.5}&{21.}&{54.1}&{49.8}&{48.5}\\{ 11. }&{49.9}&{50.7}&{49.8}&{22.}&{50.2}&{49.6}&{51.5}\end{array}\)

The standard deviation of a certain dimension on an aircraft part is \(.005\;cm\). What CUSUM procedure will give an in-control ARL of 600 and an out-of-control ARL of 4 when the mean value of the dimension shifts by \(.004\;cm\)?

A control chart for thickness of rolled-steel sheets is based on an upper control limit of .0520 in. and a lower limit of .0475 in. The first ten values of the quality statistic (in this case X, the sample mean thickness of n 5 5 sample sheets) are .0506, .0493, .0502, .0501, .0512, .0498, .0485, .0500, .0505, and .0483. Construct the initial part of the quality control chart, and comment on its appearance.

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