Modeling Risk with Confidence Using Monte Carlo SimulationOctober 21, 2025 •3:00 PM UTC
Uncertainty is unavoidable, but you don't have to do blind guesswork when making decisions. Monte Carlo simulation gives you a structured way to model variability, quantify risk, and predict a range of possible outcomes so you can take informed action.
In this webinar, we’ll break down the fundamentals of Monte Carlo simulation into clear, approachable steps and show you how it applies to various situations you may have come across. You’ll see how to set up and interpret Monte Carlo simulations using EngineRoom, MoreSteam's online data analysis software, with examples you can start using right away.
By the end of this session, you’ll be able to:
- Understand the core principles behind Monte Carlo simulation
- Use probability distributions and random sampling to model uncertainty
- Learn how to set up, run, and interpret a basic simulation in EngineRoom
- Apply Monte Carlo insights to improve decision-making
Master Black Belt • MoreSteam Client Services
Kevin Keller is a professional statistician and quality professional with over 30 years of experience teaching, coaching, and leading Lean Six Sigma project teams from the shop floor to the enterprise levels. He began his career as a process engineer at Texas Instruments and then served in a Master Black Belt role at MEMC Electronic Materials for 15 years. Kevin advanced to manage quality systems for AB‐InBev and eventually accepted a Master Black Belt position for AB‐InBev's North American Zone. Kevin earned a BS in Chemical Engineering from Missouri University of Science and Technology and a Masters in Applied Statistics from The Ohio State University. He also is a certified Lean Six Sigma MBB.
