Master's Series

Concurrent Session

T05 - Enhanced Six Sigma With Uncertainty Quantification

Tuesday, May 1
9:15 AM - 10:15 AM
Location: WSCC 611 - 612

Level: Advanced

Six Sigma methods have been developed and improved for decades, but historically have only relied on test data. Recently, increases in computational power and simulation accuracy have made simulation a feasible method to reduce testing requirements. Using validated simulations, manufacturers can explore a wide variety of scenarios at a lower cost than traditional testing methods. However, while the prevalence of simulation tools offers unique potential to generate useful analytics, it has also added complexity to the statistics required to generate actionable results. Uncertainty quantification (UQ) techniques comprise the next generation of statistical techniques, fully equipped to leverage the potential of combined simulation and physical test data, even for very large and complex systems. This session will use a combination of theoretical examples and case studies to demonstrate how UQ techniques can be combined with simulations to improve Six Sigma statistical modeling processes.

Learning Objectives:

Mark Andrews

UQ Technology Steward
Madison, Wisconsin

SmartUQ UQ Technology Steward, Madison, WI, USA.
Dr. Mark J. Andrews is SmartUQ’s UQ Technology Steward where he is responsible for advising SmartUQ on the industry’s uncertainty quantification needs and challenges. He is SmartUQ’s principal investigator for the Probabilistic Secondary Flow and Heat Transfer Model project as part of the Probabilistic Analysis Consortium for Engines (PACE). PACE is developed and managed by the Ohio Aerospace Institute (OAI) under contract with the Air Force Research Laboratory (ARFL) and engine OEMs to develop, apply, and validate advanced probabilistic methods that quantify uncertainty, achieving improvements in engine performance, cost, and reliability. Prior to working at SmartUQ, Dr. Andrews spent 15 years at Caterpillar where he worked as a Senior Research Engineer, Engineering Specialist in Corporate Reliability, and Senior Engineering Specialist in Virtual Product Development. He has a Ph.D. and M.S. in Mechanical Engineering from the New Mexico State University, as well as a BS in Mechanical Engineering from the University of New Mexico. He has been a member of ASME for over 20 years and is currently a member of the Probabilistic Methods, a subcommittee of Structures & Dynamics committee for ASME Turbo. He is also a long-standing member of SAE and American Ceramic Society (ACERS).


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Paul Tanner

Physio Control


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T05 - Enhanced Six Sigma With Uncertainty Quantification

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