Modeling & Simulation

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Avoid costly and time-consuming experimentation with physical assets. Instead, use mathematical knowledge and computation power to solve real-world problems at a lower cost and in a more efficient manner.

Modeling is a way to solve complex real-life business problems by creating a virtual representation of a real-world system, often called a ‘digital twin’. If the components of this model are driven by mathematical relationships, you can simulate a wide range of conditions to see how your real-world system would behave.

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.

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.

  • Framing the business problem in mathematical model
  • Development of the model using computers
  • Simulation of the model
  • Recommendations based on simulation results

Featured Modeling & Simulation Content

Microsoft Azure cloud services has significantly expanded their Machine Learning capabilities, which includes building models with R Script. We’ll show you how this is done and what scripts to use to get started.

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