Constant distribution causes the simulated time to complete an activity to be determined based on the Period property described below.
| Parameter | Description |
|---|---|
| Period | Determines the period required to complete an activity. |
Uniform distribution determines the period required to complete an activity consistently, taking into account the variation specified in the delta property.
| Parameter | Description |
|---|---|
| Mean | Determines the mean time it takes to complete an activity. |
| Delta | Defines the upper and lower limit variation of the mean parameter when determining how long it takes to complete a simulated activity. |
Exponential distribution determines how long it takes to complete a simulated activity by specifying how many instances are completed within a specific period.
| Parameter | Description |
|---|---|
| Average Frequency | Determines the number of average instances processed within the interval defined by the Every property. |
| Every | Defines the interval used for exponential distribution. |
Normal distribution uses the Gauss Bell distribution to determine how long a simulated activity takes to complete. You must specify the mean and standard distribution.
| Parameter | Description |
|---|---|
| Mean | The mean period required to perform an activity. |
| Standard Deviation | The standard deviation of the mean required to perform an activity. |
Real distribution allows you to specify the amount of time required to complete a simulated activity for a specific time interval.
| Parameter | Description |
|---|---|
| Distribution Criteria | Determines the time interval for determining how long a simulated activity takes to complete. |
| Interval | |
| Mean | Defines the mean time to complete an activity. |
| Standard Deviation | Defines the standard deviation of the mean parameter. |