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558<br />

Part Four<br />

Improvement<br />

Figure 18.7 The four approaches on the two dimensions of improvement<br />

on how operations should be improved. Six Sigma in particular has relatively little to say<br />

about what is good or bad in the way operations resources are organized (with the possible<br />

exception of its emphasizing the negative effects of process variation). Its concern is largely<br />

the way improvements should be made: using evidence, using quantitative analysis, using the<br />

DMAIC cycle, and so on. They also differ in terms of whether they emphasize gradual or rapid<br />

change. BPR is explicit in its radical nature. By contrast TQM and lean both incorporate<br />

ideas of continuous improvement. Six Sigma is relatively neutral on this issue and can be<br />

used for small or very large changes.<br />

Improvement techniques<br />

All the techniques described in this book and its supplements can be regarded as ‘improvement’<br />

techniques. However, some techniques are particularly useful for improving operations and<br />

processes generally. Here we select some techniques which either have not been described<br />

elsewhere or need to be reintroduced in their role of helping operations improvement<br />

particularly.<br />

Scatter diagrams<br />

Scatter diagrams<br />

Scatter diagrams provide a quick and simple method of identifying whether there is evidence<br />

of a connection between two sets of data: for example, the time at which you set off for work<br />

every morning and how long the journey to work takes. Plotting each journey on a graph<br />

which has departure time on one axis and journey time on the other could give an indication<br />

of whether departure time and journey time are related, and if so, how. Scatter diagrams<br />

can be treated in a far more sophisticated manner by quantifying how strong is the relationship<br />

between the sets of data. But, however sophisticated the approach, this type of graph

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