OptQuest for Simul8

Optimization is a powerful addition to simulation. Simulation is all about saying what if, and experimenting. As you experiment you gradually work out the best way to configure your process for optimal performance.

But what if you could skip that lengthy process of experimentation? What if rather than getting a range of results you have to decipher, your simulation could tell you exactly the right combination to maximize performance?

With OptQuest you can. OptQuest lets you move from what if to what’s best. It lets you test thousands of different parameter combinations to find the best answer.

Once you have your simulation built, you set your objective function – what you want to optimize. You might want to maximize throughput, or minimize waiting times. You then add in your constraints, for example the maximum or minimum number of staff you can have. Then you say the parameters you want to experiment with and OptQuest runs simulations of every combination to find out the best combination to hit your objective.

The OptQuest engine using sophisticated machine learning algorithms that learns as it runs the simulations. It can run thousands of simulations really quickly, it doesn’t need to though. It learns as it goes to quickly get you to the best answer.