Using Statistical Process Control Correctly in a Lean Six Sigma ProjectNovember 18, 2026 4:00 PM UTC

Statistical Process Control is routinely taught in Lean Six Sigma training, but the nuances of when and why we use it can get lost. It’s easy to reduce SPC to determining whether a process is “in control” and then applying the same interpretation every time we create a control chart. But the question we need SPC to help answer depends on why we’re using it.

In day-to-day process control, SPC is typically used to monitor an ongoing process and identify signals that warrant attention. Within a Lean Six Sigma project, you're using those same principles in a different context. In Measure, SPC can help you understand how the current process behaves and how its variation informs you in your diagnostic journey. In Control, the focus shifts to the improved process and whether its new performance is being sustained.

In this webinar, Kevin Keller will explore how SPC should be used during the Measure and Control phases of a Lean Six Sigma project.

What You'll Learn

By the end of the session, you’ll be better prepared to:

  • Understand the different purposes SPC serves in quality control and Lean Six Sigma projects
  • Use control charts appropriately during the Measure phase
  • Determine what process stability does — and does not — tell you before moving forward with analysis
  • Use SPC during Control to determine whether improvements are holding
  • Avoid applying quality-control assumptions where they don’t belong
  • Make SPC a useful part of DMAIC

Who Should Attend

This session is especially useful for Green Belts, Black Belts, Master Black Belts, project coaches, and anyone responsible for teaching or supporting DMAIC projects.

Register for the Webinar

Wednesday, November 18, 2026 4:00 PM UTC
Kevin Keller Headshot
Kevin Keller

Master Black BeltMoreSteam 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.


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