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300 Risk and uncertainty management<br />

Cumulative probability<br />

Callum<br />

Falls<br />

1<br />

0.8<br />

0.6<br />

0.4<br />

0.2<br />

0<br />

−5 0 5 10<br />

Profit $m<br />

Littleton<br />

Figure 11.2 – Cumulative probability distributions for annual profit at the two sites<br />

The managers wanted to investigate the possibility of reducing this risk<br />

and also wanted to explore the possibility of taking actions that would<br />

make the Littleton site even more profitable by increasing the payoffs<br />

that are associated with the higher levels of demand.<br />

Identifying possible areas for uncertainty management<br />

A structured method of risk management first allows the manager to<br />

identify and evaluate the most promising areas where risk might be<br />

reduced or payoffs enhanced. 1 This can involve the following approach.<br />

1. Calculate the effect of perfect control<br />

This can be achieved by first looking at the option that the decision model<br />

suggests should be preferred and determining how the probability<br />

distribution of the annual profit would change if the decision maker is<br />

able to exercise control over the events that the model assumed were<br />

uncertain. Of course, in reality it is very unlikely that the decision maker<br />

will have perfect control, but the results of the calculations will provide<br />

some guidance on whether it is worth devoting effort to try to improve<br />

the probabilities or values associated with these uncertain events.<br />

Table 11.1 shows that in the Two Valleys problem the managers were<br />

uncertain about (i) annual fixed costs, (ii) variable costs, (iii) whether the<br />

contract is agreed with the major customer and (iv) the level of openmarket<br />

demand. Suppose that actions could be taken to ensure that the<br />

contract was agreed. By how much would this increase the expected

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