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Downloadable - About University

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The Two Valleys Company 301<br />

annual profit and what would the probability distribution of profit now<br />

look like? If we increase the probability of obtaining the contract to 1.0<br />

and carry out a new simulation this reveals that the expected profit<br />

associated with Littleton increases to $2.7 million – an increase of just<br />

$320 000 on the current expected payoff. In addition, the risk of a loss<br />

reduces from 5.7% to 2.9%. Littleton’s limited capacity means that its<br />

dependence on winning the contract is relatively low.<br />

We can carry out similar analyses on the other uncertain quantities,<br />

changing each in turn to its most favorable value, while assuming the<br />

other quantities cannot be controlled. What if the managers could take<br />

actions to ensure that the fixed costs of Littleton were at their lowest<br />

possible value of $2 million? What if they were able to ensure that openmarket<br />

demand would be equivalent to the highest possible level of<br />

demand that Littleton could cope with (5 million units, or 4 million units<br />

if the contract is signed)? What if they could ensure that variable costs<br />

will be at their lowest possible level? Table 11.2 summarizes the results<br />

of simulations that were run to determine the effect of these actions.<br />

The results suggest that trying to reduce fixed and variable costs or<br />

increase demand has the greatest potential for increasing expected profit<br />

and reducing the chances of incurring a loss. In contrast, looking into<br />

ways that might increase the chances of the contract being accepted and<br />

efforts to reduce variable costs are likely to be less productive.<br />

Obtaining these results involves quite a lot of effort. Each action that<br />

is being evaluated requires a new simulation run and in a complex<br />

problem, involving a large number of uncertain quantities, this could<br />

be extremely time consuming. A quicker method, which is available<br />

on most risk-analysis packages, involves the generation of a tornado<br />

diagram. As discussed in Chapter 7, this will show the effect on the<br />

profit if each of the uncertain quantities in turn varies between its<br />

lowest and highest possible values, while all of the other factors are<br />

held at their most likely values. For example, if fixed costs are at their<br />

Table 11.2 – Results of risk management actions<br />

Action<br />

Increase<br />

in expected profit<br />

Risk of a<br />

loss<br />

Lowest<br />

possible profit<br />

Do nothing $0.0 8.0% −$2.8m<br />

Contract signed $0.32m 2.9% −$2.4m<br />

Fixed costs at lowest $1.98m 0.2% −$1.8m<br />

Highest possible demand $0.95m 0 $0.33m<br />

Variable costs at lowest $1.22m 1.8% −$2.0m

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