Simulation Optimization

Your Guidance System for Complex Decisions Under Uncertainty

Simulation has proven itself to be an incredibly useful tool for evaluating complex systems. Sometimes, however, you need to do more than just evaluate how a system will react under a given combination of conditions. Instead, what you really need to do is find the combination of conditions that will give you the 'best' possible system performance. To achieve this with a stand-alone simulation model, you will need to change model parameters, run each scenario and repetitively review results in the search for a satisfactory solution.

A simulation optimization algorithm works to automate this search procedure in an intelligent manner, saving you time and, if properly used, giving you superior results. In cases where there are many, many alternatives to evaluate, the automated guidance provided by a good simulation optimization tool can be a very welcome addition to your modeling arsenal.

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