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616<br />

Part Four<br />

Improvement<br />

Figure 20.11 The importance–performance matrix for EXL Laboratories<br />

need of improvement as each is below the minimum level of acceptability for their<br />

respective importance positions. However, two competitive factors, communications and<br />

cost/price, are clearly in need of immediate improvement. These two factors should therefore<br />

be assigned the most urgent priority for improvement. The matrix also indicates<br />

that the company’s documentation could almost be regarded as ‘too good’.<br />

The matrix may not reveal any total surprises. The competitive factors in the<br />

‘urgent-action’ zone may be known to be in need of improvement already. However,<br />

the exercise is useful for two reasons:<br />

●<br />

●<br />

It helps to discriminate between many factors which may be in need of improvement.<br />

The exercise gives purpose and structure to the debate on improvement priorities.<br />

The sandcone theory<br />

holds that objectives<br />

should be prioritized in a<br />

particular order<br />

The sandcone theory<br />

As well as approaches that base improvement priority given on an operation’s specific<br />

circumstances, some authorities believe that there is also a generic ‘best’ sequence of<br />

improvement. The best-known theory is called the sandcone theory, 8 so called because the<br />

sand is analogous to management effort and resources. Building a stable sandcone needs<br />

a stable foundation of quality, upon which one can build layers of dependability, speed,<br />

flexibility and cost, see Figure 20.12. Building up improvement is thus a cumulative process,<br />

not a sequential one. Moving on to the second priority for improvement does not mean<br />

dropping the first, and so on. According to the sandcone theory: the first priority should<br />

be quality, since this is a precondition to all lasting improvement. Only when the operation<br />

has reached a minimally acceptable level in quality should it then tackle the next issue, that<br />

of internal dependability. Importantly though, moving on to include dependability in the<br />

improvement process will actually require further improvement in quality. Once a critical<br />

level of dependability is reached, enough to provide some stability to the operation, the<br />

next stage is to improve the speed of internal throughput. But again only while continuing<br />

to improve quality and dependability further. Soon it will become evident that the most<br />

effective way to improve speed is through improvements in response flexibility, that is,

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