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Exercises 139<br />

been classified as either high or low and it is estimated that there is<br />

a 70% chance that demand will be high.<br />

If the manufacturer opts for a large-scale production run and<br />

demand is high then an estimated profit of $40 000 will be made,<br />

but it is also estimated that 2000 customers who wished to buy the<br />

plate would still be disappointed (production capacity constraints<br />

mean that it would be impossible to meet all the potential demand).<br />

If demand is low then the company would just break even, but no<br />

customers would be disappointed.<br />

If the manufacturer opts for a small-scale production run and<br />

demand is high then an estimated profit of $30 000 will be made<br />

but around 5000 customers would be disappointed. Low demand<br />

would still yield profits of $10 000 and no customers would be<br />

disappointed. It has been established that ‘profit’ and ‘number of<br />

disappointed customers’ are mutually utility independent.<br />

(a) Draw a decision tree to represent the manufacturer’s problem.<br />

(b) The manufacturer’s utility function for profit can be approximated<br />

by the function:<br />

U(x) = 0.4x − 0.0375x 2<br />

where: x = profit in tens of thousands of dollars (this function is<br />

valid for profits from $0 to $40 000, i.e. x values from 0 to 4).<br />

The manufacturer’s utility function for the number of disappointed<br />

customers is given below:<br />

Number of customers<br />

disappointed Utility<br />

0 1.0<br />

2000 0.3<br />

5000 0<br />

Plot these two utility functions on separate graphs and explain<br />

what they show.<br />

(c) After much questioning the manufacturer is able to say that he<br />

is indifferent between alternatives A and B below.<br />

A: A production run which will yield a certain profit of $40 000,<br />

but which will certainly disappoint 5000 customers.<br />

B: A production run which will have a 0.8 probability of a<br />

profit of $40 000 with no customers disappointed and a 0.2<br />

probability of a profit of $0 with 5000 customers disappointed.

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