The simulation of a production system is the representation of the manufacturing process using a computing model to experiment it under several conditions:

* Without system elaboration, if it is for an implementation proposal;
* Without system disturbance, if the objective is to get the best configuration;
* Without system destruction, if the objective of the experimentation is to determine its limits.

Axium has adopted process modeling and simulation as an integral part of his decision making during the analysis, the design and the dimensioning of his automated solutions. This scientific approach can help to better understand the system, to identify the critical factors, to measure the system’s performance, to evaluate various strategies and to answer to the question “What happens if …?”