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Utility functions for non-monetary attributes 111<br />

Expected<br />

utility = 0.65<br />

Continue with existing<br />

method<br />

Switch to new approach<br />

Expected<br />

utility = 0.58<br />

0.4<br />

0.6<br />

0.2<br />

0.4<br />

0.4<br />

Development<br />

time<br />

6 years<br />

4 years<br />

1 year<br />

2 years<br />

8 years<br />

Utilities<br />

Figure 5.8 – A decision tree for the drug company research department problem<br />

that there is a 0.4 probability that the drug will take 6 years to develop<br />

and a 0.6 probability that development will take 4 years. However,<br />

recently a ‘short-cut’ method has been proposed which might lead to<br />

significant reductions in the development time, and the company, which<br />

has limited resources available for research, has to decide whether to<br />

take a risk and switch completely to the proposed new method. The<br />

head of research estimates that, if the new approach is adopted, there<br />

is a 0.2 probability that development will take a year, a 0.4 probability<br />

that it will take 2 years and a 0.4 probability that the approach will not<br />

work and, because of the time wasted, it will take 8 years to develop<br />

the product.<br />

Clearly, adopting the new approach is risky, so we need to derive<br />

utilities for the development times. The worst development time is<br />

8years,sou(8 years) = 0andthebesttimeis1year,sou(1 year) = 1.0.<br />

After being asked a series of questions, based on the variable probability<br />

method, the head of research is able to say that she is indifferent between<br />

a development time of 2 years and engaging in a lottery which will give<br />

her a 0.95 probability of a 1-year development and a 0.05 probability of<br />

an 8-year development time. Thus:<br />

0.5<br />

0.75<br />

1.0<br />

0.95<br />

u(2years) = 0.95 u(1 year) + 0.05 u(8 years)<br />

= 0.95(1.0) + 0.05(0) = 0.95<br />

0

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