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526<br />

Part Three<br />

Planning and control<br />

Figure S17.5 The conventional and Taguchi views of the cost of variability<br />

Why variability is a bad thing<br />

Assignable variation is a signal that something has changed in the process which therefore<br />

must be investigated. But normal variation is itself a problem because it masks any changes<br />

in process behaviour. Figure S17.6 shows the performance of two processes both of which are<br />

subjected to a change in their process behaviour at the same time. The process on the left has<br />

such a wide natural variation that it is not immediately apparent that any change has taken<br />

place. Eventually it will become apparent because the likelihood of process performance<br />

violating the lower (in this case) control limit has increased, but this may take some time.<br />

By contrast, the process on the right has a far narrower band of natural variation. Because<br />

of this, the same change in average performance is more easily noticed (both visually and<br />

statistically). So, the narrower the natural variation of a process, the more obvious are changes<br />

in the behaviour of that process. And the more obvious are process changes, the easier it is to<br />

understand how and why the process is behaving in a particular way. Accepting any variation<br />

in any process is, to some degree, admitting to ignorance of how that process works.<br />

Figure S17.6 Low process variation allows changes in process performance to be readily<br />

detected

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