Scenario Advanced Parameters
Influence of random numbers 
Random numbers allow a simulation model to take account of the variability that exists in a real situation. So, when you use a statistic (other than the fixed law) or when percentages are involved (at output of a condition for example), the random number generator emulates the chance concept.
By default, when you restart simulation on the same scenario, the random number generator produces the same results. Therefore two consecutive simulations of the same model without parameter changes will produce the same results. Changing the chain of generated random numbers improves reliability of results of a model.
To take account of random numbers in the simulation:
*Click button in the simulation editor.
*Take care, this button is also available in beginner mode, but the value of the random generator seed is only visible in standard mode. To access the value of this number: click the scenario and select the Definition tab to display the Random Generator Seed box.
Schedule 
In standard mode, you can create schedules to specify that tokens will be generated continuously over a given period.
Token data 
You can declare the data for generated tokens. This data can take different values.
Example:
In a scenario, you want to specify that there are two delivery types, normal delivery and urgent delivery. To do this:
1. Click the scenario and select the Token Data tab.
2. Right-click the Token Data folder and select New.
3. Call it "Delivery type".
This data is connected to the scenario input flow.
Token data values
You can then customize data values at the level of each scenario.
To define data values:
*In the Selected Data Value box, create values using the New button.
For our example, create the two values "Normal" and "Urgent".
Internal values
You can allocate non-translatable values to a token data and thus avoid the simulation being affected by language changes.
To create the internal value of a data value:
1. Open the properties dialog box of the data.
2. Select the Characteristics tab.
3. In the Possible values box, enter an internal value for each value. Each internal value must be different.
The data created will be carried by all tokens generated on simulation.
In the scenario, you can specify token data distribution.
Example: in 80% of cases the "Delivery type" is "Normal", in 20% of cases it is "Urgent".
This percentage is defined in the Probability field of the value.
*For data declared in the scenario, if no value is specified, the first data value is assigned to the token.
You can modify the data value at the level of tasks traversed by the token. See Queue order.
You can also use values to identify the valid output branch from a gateway or task . See Token condition and data.
Scenario objectives 
In standard mode, you can associate objectives with scenarios. These objectives are connected to indicators calculated from standard results of the simulation. On completion of simulation, if the value of each indicator is within the expected interval, then the required objective is considered as achieved.
*To show objectives and indicators, confirm that the Architecture Process Modeling Objectives and Requirements Modeling option is selected.