About Topic
In this talk we will review the use of leveraged sample selection, i.e., selecting extreme parts, in process improvement (variation reduction) projects. The primary goal is to show the breadth of applicability of leveraging and discuss both the benefits and potential drawbacks. We illustrate the ideas using variation transmission, group comparison, measurement system assessment, disassembly/reassembly, and component swap investigations as examples.
About Speaker
Stefan Steiner is a Professor in the Department of Statistics and Actuarial Science at the University of Waterloo. His primary research interests include quality improvement systems, experimental design, measurement system assessment and process monitoring. He is a Fellow of the American Statistical Association and the American Society for Quality. From 2003-2020 Professor Steiner was the director of the Business and Industrial Statistics Research Group (BISRG) at the University of Waterloo. The mandate of BISRG is to encourage the flow of knowledge, ideas, methods, and problems between the university and business communities to their mutual benefit. As a business/industrial consultant, Professor Steiner has worked together with numerous organizations, including Atlantis Aerospace, Bendall Automotive, Blackberry, Chrysler, ComDev, Dana, Eaton Yale, Fisher and Paykel, Katlyn, General Motors Canada, Ford Motor Company, Johnson and Johnson, Nortel Networks, Open Text, PetroCanada, Precision Plastics, Seagrams, Toyota, U.S. Army, US Federal Food and Drug Agency, Wescast, Woodbridge Foam, and the State of Utah, and the Counties of Tooele, Utah, and Salt Lake. The consulting projects involved statistical process control/monitoring, design of experiments, quality improvement, data analysis, data science, statistical engineering and process re-engineering.
Shewhart Medal presented to Stefan Steiner, University of Waterloo, Waterloo, Ontario, Canada at the 2023 WCQI, Philadelphia, PA - “for his outstanding leadership in the field of industrial statistics; for his innovation and technical contributions in measurement system analysis, process monitoring, statistical engineering, and variation reduction; and for his dedicated promotion of quality improvement in business, industry, and healthcare".