Simulation

While a process model enables a static view of the processes, the dynamic process aspects are examined using Simulation. Static wait times, such as drying times for manufactured parts are taken into account in the static process documentation, but dynamic wait times arise only in the dynamic flow of processes, namely when required resources are committed elsewhere. The simulation shows chronologically-logically modeled processes in a realistic, dynamic procedural sequence. It enables you to check effects, such as time-critical resource use or excessive cost increase during particular periods.

In addition to making an actual versus target comparison, new processes or process variants can be evaluated. This means that a redesign of processes can be verified beforehand and therefore implemented faster and with lower costs.

The simulation data is prepared in a comprehensible manner using statistics and charts. Many cumulated and detailed statistics exist. Cumulative statistics combine results of processes and objects. Detailed statistics provide data for each individual process and object.

Simulation experiments

During process analysis and optimization, you must check the effect of different configurations of processes and resources. In a simulation experiment, you can generate and simulate these configurations by changing attribute values or factors, such as the probability of occurrence or number of resources. Each configuration is simulated separately. The results are saved to be compared and evaluated later for process optimization.

ARIS video tutorial

Overview of Simulation (approx. 4 minutes)