Explorers Series

Unearth the possibilities in your data

Lecture & Lunch

Statistical Discovery in Quality Engineering

Date: October 8, 2019
Time: 9:00 am - 1:00 pm
Location: The Time Nyack, 400 High Ave., Nyack, NY 10960
Registration & Lunch: Free

With quality engineering you can systematically use data to determine more efficient and effective ways to get things done throughout the product life cycle – and minimize the associated cost, waste and time. But increasing levels of automation and the rise of the digital economy mean that data from the production and delivery of products is rapidly increasing in volume and complexity.

This seminar will show how you can still effectively pursue the traditional objectives of process control, improvement and troubleshooting in this evolving world. It will address ways to achieve high quality for your processes, products, services and organizational performance with continuous learning and improvement. You will learn how to:

  • Take fit-to-purpose measurements.
  • Monitor and control processes with ease.
  • Troubleshoot with data visualization and analysis.
  • Identify and correct sources of variation.
  • Communicate findings and build consensus.

The seminar will be appropriate for anyone who is interested in delivering products and services that consistently meet or exceed customer expectations, reducing time to market and warranty costs, and building and protecting a brand. Whether you are a seasoned practitioner or just starting out, you will gain insight into a variety of analytical techniques including neural networks and tree-based methods.

Register now to attend in Nyack.

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ABOUT THE SPEAKER
Mike Anderson
Mike Anderson

Mike Anderson is a Systems Engineer at JMP. Before joining SAS, he worked in a variety of roles in high-tech manufacturing, encompassing measurement statistics, Lean Six Sigma, and cost and defect reduction. Anderson holds a PhD in Materials Chemistry from the University of Oregon and has achieved certification as a Lean Six Sigma Black Belt

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