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Introducing our latest 2022 release – our new OptQuest integration


We are excited to announce that we have partnered with OptTek, to bring you our new and improved OptQuest integration!

OptQuest can automatically run thousands of simulations of different combinations to find the best parameters to maximize performance and meet the objectives of your processes. Brought to you from our partner OptTek, it is the most sophisticated simulation optimization engine on the market.

Watch our OptQuest feature spotlight video below to find out more about our latest release.

So, what is optimization?

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 the power of our OptQuest integration, 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 based on your objectives.

Fiona Lindsay, Product Owner at Simul8 said: “Our new OptQuest integration really is a game-changer. Not only does it identify the best outcomes for your objectives, therefore no need for any guesswork, it’s also completely user friendly which makes it such a great integration to Simul8. I’m really excited for this partnership with OptTek!”

What questions can you ask with OptQuest?

  • What’s the best configuration of machines to maximize throughput?
  • What’s the right level of equipment spares to keep production flowing, but not overspend on spare equipment?
  • What’s the optimal staffing configuration for my process?
  • How many additional staff do I need to bring patient wait time down to target level?

How does optimization work?

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.

What are the benefits of OptQuest?

Go from asking ‘what if’ to ‘whats best’: OptQuest takes away the guesswork. Using sophisticated algorithms OptQuest gets you to the answer you’re looking for.

Deliver the best possible answer – faster: Identify the best possible outcomes with unparalleled efficiency, harnessing the power of Simul8 and OptQuest

Reduce errors and get the best solution every time: Using optimization removes inaccuracies inherent to trial-and-error methods, allowing you to save time in finding the best solution to a given problem.

The more complex the simulation, the bigger the return: OptQuest incorporates all the complexity of your processes, balances your competing objectives and helps you reach the best possible outcome.

Learn how to Optimize with Simul8

Find out more about our latest OptQuest integration or if you want to get started with OptQuest but aren’t sure how, we deliver one-to-one training at a time that suits you. Get in touch with our team today and we’ll be happy to discuss your training options.

About the author

Simul8

Simul8

For over 20 years we've been working with organizations around the world to transform processes. Our intuitive software is relied on to help make million dollar decisions. From Ford to NASA, Geisinger to Boston Scientific, SIMUL8 Corporation's powerful software is being used to increase efficiency, reduce costs and improve processes.