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338 Resource allocation and negotiation problems<br />

Table 13.2 – Values of strategies with each benefit measured on common scale<br />

Strategies<br />

Costs<br />

($m) Profits<br />

Benefits<br />

Market<br />

share Risk<br />

NORTH REGION<br />

(1) Reduce to three outlets 12 27.27 0 10<br />

(2) Status quo<br />

WEST REGION<br />

28 0 70 0<br />

(1) Close down operation −14 39.39 0 20<br />

(2) Status quo 7 21.27 15 12<br />

(3) Expand to six outlets<br />

EAST REGION<br />

16 0 50 0<br />

(1) Status quo 2 100 0 100<br />

(2) Expand to four outlets 25 91 25 70<br />

(3) Expand to 10 outlets<br />

SOUTH REGION<br />

40 0 100 0<br />

(1) Status quo 20 90.91 0 30<br />

(2) Expand to 16 outlets 25 45.46 48 12<br />

(3) Add three town center outlets 45 0 60 0<br />

achieved by the switch they had previously identified in the East region.<br />

Hence ‘Market share’ in the North was allocated a within-criterion<br />

weight of 70. The weights for South and West regions were assessed in<br />

the same way. A similar approach was used to elicit the within-criterion<br />

weights for ‘Risk’.<br />

Each benefit now had a common scale which enabled the effect on that<br />

benefit of choosing a particular package to be measured. Table 13.2 shows<br />

the values of the various strategies measured on these common scales.<br />

Comparing the relative importance of the benefits<br />

Obviously, the managers wanted to be able to assess the overall benefit<br />

of using a particular package by combining the values for all three<br />

benefits. This meant that they now had to determine a set of weights<br />

which would allow one benefit to be compared with the others. These<br />

weights could be obtained by directly assessing the relative importance<br />

of each benefit, but, as we pointed out in Chapter 3, a better method<br />

is to compare the importance of a change (or swing) from the worst<br />

position to the best position on one benefit scale with a similar swing on

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