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Total Quality Management - CII Institute of Logistics

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<strong>Total</strong> <strong>Quality</strong> <strong>Management</strong><br />

varies under normal, state conditions - that is, when only chance causes are contributing<br />

to the variations. Then, if any unusual change occurs, we can see this change in our<br />

normal distribution curve. We can say that it's the result <strong>of</strong> an assignable cause and not<br />

due to chance causes alone.<br />

When assignable causes are present, the curve will be distorted and lose its normal bell<br />

shape. Figure 4.5 shows some typical distortions to the normal distribution curve.<br />

Figure 4.5 Distortions to the Normal Curve<br />

Normal<br />

Distribution<br />

Measurements tail <strong>of</strong>f<br />

to the right<br />

Measurements from two<br />

different groups<br />

Measurements from two<br />

different<br />

Groups that overlap<br />

Measurements tail <strong>of</strong>f<br />

to the left<br />

Tails <strong>of</strong> the distribution are<br />

chopped <strong>of</strong>f. Parts were<br />

probably sorted.<br />

This brings us to the sixth basic principle.<br />

6. Variations due to assignable causes tend to distort the normal distribution<br />

curve<br />

A frequency distribution is a tally <strong>of</strong> measurements that shows the number <strong>of</strong> times<br />

each measurement is included in the tally. The tally you saw in Figure 4.1, which was<br />

made by rolling dice, is a frequency distribution.<br />

A frequency distribution helps us determine whether chance causes alone exist in a<br />

process or whether an assignable cause is also present. (We have statistical techniques<br />

that can detect when an assignable cause is present. Frequency distributions are a very<br />

<strong>CII</strong> <strong>Institute</strong> <strong>of</strong> <strong>Logistics</strong> 72<br />

Website: www.ciilogistics.com

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