Example of Simulating General Formulas
Obtain the distribution of certain objectives by using the Simulator to run a financial model under different probability scenarios. In this example, you store the formulas into columns, set up ranges, and then use the Simulator to conduct a simulation.
1. In the JMP Home Window, select File > New > JSL Script. This opens a new script window.
2. Copy and paste the following JSL script into the new script window.
dt = New Table( "Sales Model" );
dt << New Column( "Unit Sales", Values( {1000, 2000} ) );
dt << New Column( "Unit Price", Values( {2, 4} ) );
dt << New Column( "Unit Cost", Values( {2, 2.5} ) );
dt << New Column( "Revenue",
Formula( :Unit Sales * :Unit Price )
);
dt << New Column( "Total Cost",
Formula( :Unit Sales * :Unit Cost + 1200 )
);
dt << New Column( "Profit",
Formula( :Revenue - :Total Cost ),
Set Property( "Spec Limits", {LSL( 0 )} )
);
Profiler(
Y( :Revenue, :Total Cost, :Profit ),
Objective Formula( Profit )
);
3. Click the Run Script icon 
to run the script. Alternatively, you can select Ctrl-R.
The script creates the data table in Figure 8.24 with some initial scaling data and stores formulas into the output variables. It also launches the Prediction Profiler.
Figure 8.24 Data Table Created from Script
4. Click the Prediction Profiler red triangle and select the Simulator.
5. In the menus beneath Unit Sales and Unit Cost, select Random.
6. Fill in the factor parameters:
– Unit Sales is Uniform with Lower limit 1000 and Upper limit 2000.
– Unit Price is Fixed at 3.
– Unit Cost is Normal with mean of 2.25 and standard deviation of 0.1.
Figure 8.25 Specifications for Prediction Profiler
7. Click the Simulate button.
Note: Your numbers might differ from those shown in Figure 8.26 due to the random draws in the simulation.
Figure 8.26 Simulator
It appears that the models are unlikely to be profitable. By putting a lower specification limit of zero on Profit, the defect report tells you that the probability of being unprofitable is 62%.
8. Change the fixed value of Unit Price to 3.25.
9. Click the Simulate button.
Figure 8.27 Results
Now the probability of being unprofitable is down to about 21%.
If unit price cannot be raised anymore, you should now investigate lowering your cost or increasing sales, if you want to further decrease the probability of being unprofitable.