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QE Tools, LLC provides high value quality analysis software and solutions to support Six Sigma and Design for Six Sigma Continuous Improvement Efforts. The company was formed initially by University of Michigan researchers to provide a highly functional, user-friendly, Excel-based add-in tool for Six Sigma practitioners. The QETools add-in allows users to Quickly and Easily learn and apply the various problem solving TOOLS and statistical analysis methods. QETools software focuses on providing data analysis tools and problem solving templates commonly used in Six Sigma Green Belt projects. QETools also provides a Six Sigma analysis roadmap to help users work through the DMAIC problem solving process.
The principal architects of the QE Tools software are Dr. Patrick Hammett and Dr. Luis Garcia-Guzman. Both Hammett and Guzman are actively involved in the University of Michigan’s College of Engineering’s Six Sigma Program. They also teach several quality and statistics courses for the Industrial and Operations Engineering Department.
Dr. Hammett is the Co-director of the University’s Six Sigma program and also serves as Associate Director for the OSAT Division within the University of Michigan’s Transportation Research Institute. Here, he conducts research focusing on quality methods and measurement technology with an emphasis on tools supporting automotive product development processes. Dr. Hammett received both his Master’s and Ph.D. in Industrial and Operations Engineering from the University of Michigan and has a Bachelor of Science in Engineering from Purdue University.
Dr. Guzman is an Assistant Research Scientist with the Manufacturing Systems Group of the Office for the Study of Automotive Transportation (OSAT) and an Adjunct Professor in the Department of Industrial and Operations Engineering. Dr Guzmán received his B.S. from Monterrey Institute of Technology and his M.S. and Ph.D. in Industrial and Operations Engineering from The University of Michigan. Prior to joining OSAT, Dr. Guzmán worked for Duroplast in Naucalpan, México where he served as both a Logistics Engineer in supply chain management and a Product Engineer for new programs. At U of M, his research has focused on developing multivariate approaches for dimensional variation reduction during automotive body process validation. He is an instructor for various Statistical Analysis, Six Sigma, and Design of Experiment courses at the University of Michigan. |
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