Machine Learning to Improve Lean Six Sigma Training efficacy

Machine Learning to Improve Lean Six Sigma Training Efficacy

Xander Hathaway, MoreSteam Nick LaRosa, MoreSteam

If we intend to teach continuous improvement, then it follows that we need to continually improve the way we teach. We have to think creatively about new approaches to training, driven by data on our current performance. Drawing inspiration from machine learning, we applied various algorithms to tease out which inputs ("features") of training best predict learner success. Join us as we explore our findings and discuss the levers you can pull to increase training effectiveness.

This session focuses on two main takeaways. The first is to learn about machine learning and to see how it can apply to a project roadmap similar to the Lean Six Sigma DMAIC roadmap. The second is to gain insight into improving Lean Six Sigma training and the management of Lean Six Sigma deployments.

In this session, the following key points will be covered:

  • Become familiar with the basic machine learning workflow
  • Compare the similarities between the DMAIC roadmap and the machine learning workflow
  • See how machine learning allows for the inclusion of non-linear and non-obvious data points to improve model quality
  • Recognize opportunities to use machine learning to improve processes, including Lean and Six Sigma initiatives
  • Levers that you can move to improve your training outcomes
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Xander Hathaway on LinkedIn
Xander Hathaway

Vice President of Product Development • MoreSteam

Xander Hathaway leads MoreSteam’s software development team, shaping the strategy, architecture, and technical foundation behind the company’s platform. His work sits at the intersection of software engineering, operational excellence, and applied AI, where he focuses on building systems that help organizations solve problems more effectively at scale.

Before joining MoreSteam, Xander worked as a senior software architect in consulting, where he designed and implemented cloud-based solutions for a wide range of clients. This experience informs his practical, systems-oriented approach to product development today.

Xander is an active contributor to the operational excellence community, having presented at leading industry conferences including POMS, IISE Annual Conference, and ASQ events. He holds a Master of Information and Data Science from University of California, Berkeley and a B.S. in Computer Science from University of Notre Dame.

Nick LaRosa
Nick LaRosa

Nick LaRosa began working for MoreSteam in 2014, lending his talents to both the eLearning and EngineRoom development teams. He currently focuses his efforts on the back-end development of EngineRoom. In addition to his role with MoreSteam, Nick also serves in the United States Marine Corps Reserve as a 2nd Lieutenant with the 14th Marine Regiment. Nick earned his B.S. in Computer Science from the University of Notre Dame.

Machine LearningDMAICLean Six Sigma
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