By J. Murdoch (auth.)
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Additional info for Control Charts
0 (from table 1*). 0005). 00 1. 4. 4% in the next two samples of size 100. 10 mm, sample size n = 5, nominal dimension= 10 mm. 10 mm, what is the probability now of a sample average falling outside the action limits? 7 Clearly it is only necessary to consider the upper limit. 9 It is not possible to give an ideal solution here, but students should be able at least to understand the inter-relationship of the factors involved. Students on advanced courses should make an attempt to construct a model.
36 SHEWHARTCONTROLCHARTS 37 The limits on the control chart are probability limits and they are determined such that, if only chance causes are present or the process is in control, then the probability of a sample point falling outside is very small. The probability values assigned to the limits are arbitrary and although differences exist between the American and British chart practice, the differences are minor in the case of variable chart design but as will be shown later, there are larger differences in the practice for attribute charts.
9 No. 5 a From table 1 *. 97 For 3 df this result is highly significant (see table 3*), confirming the apparent disagreement and that the system is not in control. This example will be further discussed in Chapter 6 to demonstrate the use of CuSum charts in diagnosing when changes in the Breakdown Rate have occurred. 5 kg. 02 kg. 09 5 4 3 2 1 Sample No. 19 12 11 29 PROCESS CAP ABILITY What is the process capability and comment on tolerance which process is capable of meeting? 02 kg. 008 kg with 95% confidence.