From the course: Generative AI for Continuous Improvement

Unlock this course with a free trial

Join today to access over 24,900 courses taught by industry experts.

Process optimization through simulation

Process optimization through simulation

From the course: Generative AI for Continuous Improvement

Start my 1-month free trial Buy for my team

Process optimization through simulation

“

- [Instructor] When you think about optimizing a process, it's often trial and error. You make a change, you see what happens, and you adjust from there. But what if you could test out changes without touching the actual process? That's where AI-powered simulations come in. They let you create a virtual version of your process, test various scenarios, and find the best options without risking real-world impacts. It's like having a test lab for your processes, and it's incredibly valuable for continuous improvement. So, how does this work? At its core, AI simulations create digital twins of your processes. A digital twin is a virtual model that mirrors your real-life process fed by data from actual operations. This model is designed to behave just like your real process would, which means you can run it through all kinds of hypothetical situations to see what might happen. Imagine you're managing a supply chain process. You could use an AI simulation tool to test out different…

Contents