Systems can be modelled according to different techniques, from hard operational models like transport networks to soft systems like decision making processes with diverse human interventions. Depending on your business need, we can formulate models using a combination of these techniques. The result is a detailed representation of your system through a multi-level mind map diagram. This model will comprise customers, actors, processes and environment of the system, including how they interact within this system.

Using further parametrisation this model can be coded in simulators to identify critical entities in your system, such as bottlenecks and critical assets. These simulations enable the evaluation of changes and the assessment of returns in different scenarios.  The techniques we use can be implemented on discrete event, queuing and transport networks simulations. In addition to these, if there are large portions of your process with unknown variables, we can also use machine leaning techniques to enlighten relationships not considered before. We can also generate uncertainty simulations, delivering probabilistic profiles of variables and results