HOPEX Business Process Analysis > Simulating a BPMN process > Creating a Simulation Scenario > Distribution Laws and their Parameters
Distribution Laws and their Parameters
Distribution laws are used to represent the random behavior of the processing time of a task or the delay between the generation of two new instances injected in the simulated process.
The distribution laws available in HOPEX Process Simulation are presented in the table below
 
Distribution law
Mean
1st parameter
2nd parameter
Fixed
Fixed value
 
 
Exponential
mean
 
 
Gamma
mean
variance
 
Log Normal
mean
variance
 
Normal
mean
standard deviation
 
Triangular
mode
minimum
maximum
Uniform
 
minimum
maximum
List of proposed distribution laws with their parameters