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Downloadable - About University

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188 Applying simulation to decision problems<br />

Probability<br />

0.3<br />

0.2<br />

0.1<br />

Probability<br />

0.4<br />

0.3<br />

0.2<br />

0.1<br />

8 10 12 14 16 18 10 15 20 25 30 100150200250 300<br />

Variable costs ($) Sales (thousands of plates) Fixed costs ($000)<br />

Figure 7.3 – Probability distributions for variable costs, sales and fixed costs<br />

use more sophisticated statistical methods, like correlation and multiple<br />

regression analysis, to obtain the diagram.)<br />

Stage 4: Assess probability distributions<br />

Figure 7.3 shows the probability distributions which were obtained for<br />

variable costs, sales and fixed costs. Techniques for eliciting probability<br />

distributions are discussed in Chapter 10.<br />

Stage 5: Perform the simulation<br />

Simulation can now be used to obtain a probability distribution for the<br />

profit which the plate will earn. A microcomputer was programmed to<br />

carry out the simulation which involved the generation of three random<br />

numbers. The first was used to give a figure for variable costs, the second<br />

a figure for sales and the third a figure for fixed costs. For example, in the<br />

first simulation the computer produced variable costs of $13.2, sales of<br />

26 500 and fixed costs of $125 000, and the resulting profit was calculated<br />

as follows:<br />

Profit = ($25 − $13.2) × 26 500 − $125 000 = $187 700<br />

This process was then repeated until 500 simulations had been carried<br />

out. The profits generated by these simulations and the resulting<br />

probability distribution are shown below:<br />

Probability<br />

0.5<br />

0.4<br />

0.3<br />

0.2<br />

0.1

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