Once a model is built, you can “play” around with the variables to examine “what-if” scenarios, such as what would happen, or what would my model output be, if variables A, C and G are changed into such and such. 

Of course, the more complex a system, the more variables there are that can be changed to assess various scenarios. You can run thousands of simulations, changing all inputs over ranges. As you change variables you get to know your system and its limitations as well as its optimised state. You can also model different systems and connect them into one model thus understanding the relationship between processes or systems. In modelling and simulation, sensitivity analysis can also be performed which will help you understand which parameters affect the overall system the most, thus ensuring the core variables that are the most important are retained at an optimised levels at all times.

So once a model is built, through various iterations or simulations, you can carry out process optimisation of the overall system or infrastructure. For instance, you can carry out multi-objective optimisation, add constraints to the system, as well as carry out real-time control of your systems. This means you can run continuous system optimisation for real time balancing of the system, just to mention a few. Statistical process control in real time can give you warnings if trends are observed - this helps in forecasting problems before they arise. 

Modelling & Simulation can be extremely complex behind the scenes but that does not need to feel difficult to use by the end-user. With the correct user interface as well as with proper training and support, such tools can be made intuitive and approachable. 

Whilst there is a great deal of science, mathematics, data and technology running in the background, the system can be designed to be feel friendly and simple on the surface.

Depending on who is using the model, whether for instance your in-house data scientist or your production line machine operator, different users will need different insights, or sometimes the same insights presented in different ways, with more or less detail. The look-and-feel therefore can be adapted to the needs of its users by building different UIs, and showing data in different ways, or even showing only the data which is relevant the person viewing it.

Although data, mathematics, science and technology involve a lot of complexity, here at Funis Consulting, we believe in innovation that serves a purpose. Here at Funis, our aim is to deliver smart, tailored solutions that bring real value to businesses and society alike, always designed with the end-user in mind.