Statistical Discovery in Modern Quality Engineering

June

18

10:30 - 12:00 CEST / 9:30 - 11:00 BST

All organizations strive to increase their efficiency and effectiveness so that they are recognized as leaders in their industry or sector. 

How can your organization design products, processes and systems that meet or exceed customer and market expectations? And in today’s world of constant change and increasing complexity, how can your organization manage uncertainty while staying relevant and competitive? With quality engineering, you can systematically use data to find more effective ways to get things done throughout the product life cycle, while minimizing the associated cost, waste and time.

Whether you are a seasoned practitioner or just starting out, you’ll learn how quality engineering, combined with a modern analytics strategy and a robust data-driven approach, can help you meet the demand for continuous improvement and cultivate a loyal, satisfied customer base along the way.

Featured Keynote
10:30 CEST / 9:30 BST

Hoerl, Roger

Roger Hoerl

Author, Statistical Thinking: Improving Business Performance

Roger W. Hoerl, PhD, is the Brate-Peschel Associate Professor of Statistics at Union College in Schenectady, NY. He is the former leader of the Applied Statistics Laboratory at GE Global Research, which focuses on new product and service development within each of the GE businesses. Hoerl is an elected member of the International Statistical Institute and the International Academy for Quality. In 2006 he received the Coolidge Fellowship from GE Global Research, honoring one scientist a year from among the four global GE Research and Development sites for lifetime technical achievement. He used his six-month Coolidge sabbatical to study the global HIV/AIDS pandemic, spending a month traveling through Africa in 2007.

Panel Discussion
11:00 CEST / 10:00 BST

Organizations are embracing more automation and the rise of the digital economy in the production and delivery of products. And with in-line sensors afforded by the rise of the Industrial Internet of Things (IIoT) and advanced measurement systems, they are generating and collecting a growing volume of data that is more complex than ever before. 

But they may not know what to do with the data. Moreover, the data may not be useful for driving process knowledge. Hear how innovative organizations are overcoming these challenges during a panel discussion with:

  • Vasco Cachaco, Xaar
  • Per Vase, NNE
  • Delphine Attonaty, IT&M Stats

What will you learn?

Can we still use traditional methods of process monitoring and improvement, even if there are hundreds or even thousands of parameters? Do we need newer analytic methods to sort through the volumes of available data? And are these data adequate for designing robust processes or products that exceed customer expectations? Join us as we explore these questions.

You'll gain a better understanding of how to:

  • Improve your competitive position with modern tools for quality engineering.
  • Reduce cost and waste by making better use of data to identify and fix real problems.
  • Find useful relationships in data that you have already collected.
  • Correctly identify which responses have changed after a process intervention.

Meet the Panel

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