How to Validate a Process With Simulations

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simulation is really valuable if they can be built, and run as quickly as the decisions are best. It doesn't always need to be exactly the 100% in a bracket, there's just scope for different types of processes. The more runs that you do, the more accurate it will be - so don't start with one good day or bad day. You've taken to count the range of days that you're going to get,. So that you're able to then predict overall how the system will perform. How many runs to do is the question we always kind of get asked? That's down to how much variability is and making of the process.

When it comes to simulation, we're all really asking the same question: are we living in one? Alas! We did not tackle that on this episode. Instead, with Julie Hoyer as a guest co-host while Moe is on leave, we were joined by Frances Sneddon, the CTO of Simul8, to dig into some of the nuts and bolts of simulation as a tool for improving processes. It turns out that effectively putting simulations to use means focusing on some of the same foundational aspects of effectively using analytics, data science, or experimentation: clearly defining the problem, tapping into the domain experts to actually understand the process or scenario of focus, and applying some level of "art" to complement the science of the work! For complete show notes, including links to items mentioned in this episode and a transcript of the show, visit the show page.