MODELING & SIMULATION
Modeling is a way to solve complex real-life business problems by creating a virtual representation of a real-world system, often called ‘digital twin’. If the components of this model are driven by mathematical relationships, you can simulate this virtual representation under a wide range of conditions to see how it behaves, by adjusting the levers or parameters that affect the output of the model.
Modeling and simulation are especially valuable for testing conditions that might be difficult to reproduce. Iterating between modeling and simulation can improve the quality of the system or process design early, thereby reducing the number of errors found later in the design process.
Avoid costly and time-consuming experimentation with physical assets. Instead, use mathematical knowledge and computer’s computation power to solve real world problems cheaply and in time efficient manner.
Smartbridge’s data scientists and advanced software developers use software such as MATLAB, Mathematica, R and Python to create the digital twins to model your complex problems, simulate and identify the optimal set of parameter settings that gives you the best outcomes.