Process Simulation Model

Process simulation models allow you to define how a process behaves as part of a Project Simulation Model. You can define multiple process simulation models for each process. This allows you to create different simulations based on different combinations of resource allocations and activity behavior.

Note: Grab, Global, and End activities are not simulated.

Process Information Tab

The Process Information Tab allows you to configure in:
Option Description
Enable amount of current instances Allows you to define the number of instances that can exist within the simulation at one time. The process simulation will run until the duration is completed or the maximum number of instances is reached.
The following table lists the Distribution Types used when creating process instances:
Option Description
Constant Generates simulated process instances regularly as defined by the period property.
Uniform Generates simulated process instances regularly, taking into account the variation specified in the delta property.
Exponential Creates simulated process instances using an average frequency of instances within a specific interval.
Normal Generates simulated processes according to a Gauss Bell distribution based on a mean and standard deviation.
Real Creates simulated process instances based on specific time-based criteria. This type of distribution is primarily used with round-trip simulations. You can specify the interval criteria used to categorize the distribution. You can also specify the mean and standard deviation.