Exploring the Power of Response Surface MethodologyAugust 14, 2024 3:00 PM UTC

Response Surface Methodology (RSM) are powerful statistical techniques designed to help you model, analyze, and optimize complex systems with multiple variables. This 1-hour webinar will scratch the surface of Response Surface Methodology and demonstrate its use in enhancing product performance, improving manufacturing efficiency, and making data-driven decisions with confidence. By attending, you will learn how experiments can be designed to be efficient and uncover the optimal conditions for your response variables with the least amount of resources. Whether you are in research, engineering, quality control, or any field that relies on experimentation, developing a solid knowledge of RSM will enable you to refine models and more fully investigate key factors and interactions that drive success.

In this session we will cover:

  • The definition and purpose of Response Surface Methodology (RSM)
  • Why RSM is an effective strategy in experimentation
  • How RSM minimizes resources in optimization
  • Step-by-step guide to setting up and analyzing an RSM experiment in EngineRoom

Don't miss this opportunity to elevate your analytical capabilities! Join us to discover how RSM can transform your approach to problem-solving and process optimization.

Register for the Webinar

Wednesday, August 14, 2024 3:00 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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