Simulation-Based Optimization

Simulation-Based Optimization (SBO) is a method that uses computer models to find the best solution for complex problems. It involves creating a virtual representation of a real system—like a factory, supply chain, or city—and running simulations to see how different choices affect performance. By testing many scenarios efficiently, SBO identifies optimal parameters or strategies without disrupting actual operations. This approach helps decision-makers improve efficiency, reduce costs, or enhance performance in situations where real-world experimentation is costly or impractical.