Simulation-based modeling further optimizes simulation analysis. That’s because regular simulation analysis incorporates complex systems, making the end objective difficult and expensive to evaluate.
A simulation-based optimization will provide granular information to improve system performance. The goal is to evaluate the effect of different input variables and try to find the optimal value for the number of variables. One way to achieve this is to run simulation experiments for all possible input variables and discover the optimum amount.