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200 Applying simulation to decision problems<br />

Table 7.5 – Calculating the NPVs for the Alpha and Beta machines<br />

Time of<br />

cash flow<br />

Cash<br />

inflow<br />

($)<br />

Cash<br />

outflow<br />

($)<br />

Net cash<br />

flow<br />

($)<br />

Present<br />

value<br />

factor<br />

Discounted<br />

cash flow<br />

($)<br />

(a) Alpha machine<br />

Now 0 30 000 −30 000 1.0000 −30 000<br />

Year 1 14 000 2 000 12 000 0.9091 10 909<br />

Year 2 15 000 4 000 11 000 0.8264 9 090<br />

Year 3 15 000 6 000 9 000 0.7513 6 762<br />

Year 4 14 000 7 000 7 000 0.6830 4 781<br />

Net present value (NPV) = $1 542<br />

(b) Beta machine<br />

Now 0 30 000 −30 000 1.0000 −30 000<br />

Year 1 8 000 4 000 4 000 0.9091 3 636<br />

Year 2 13 000 4 000 9 000 0.8264 7 438<br />

Year 3 15 000 5 000 10 000 0.7513 7 513<br />

Year 4 21 500 5 000 16 500 0.6830 11 270<br />

Net present value (NPV) = −$143<br />

turn out to be near $14 000 then our estimated NPV would have been<br />

very misleading.<br />

Clearly, the approach would be more realistic if we could incorporate<br />

our uncertainty about the cash flows into the analysis. The result would<br />

be a probability distribution for the NPV which would indicate the range<br />

within which it would be likely to lie and the probability of it having<br />

particular values. From this we could assess the chances of the project<br />

producing a negative NPV or the probability that the NPV from one<br />

project will exceed that of a competing project. In the section which<br />

follows we will show how simulation can be used to extend the NPV<br />

approach so that we can explicitly take into account the uncertainty<br />

associated with an investment project.<br />

Using simulation<br />

Let us first consider the application of simulation to the Alpha machine.<br />

It was thought that the following factors would affect the return on<br />

this investment:

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