ASQ Ann Arbor, N Soderborg, Statistical Problem Solving in Industry: The People Side of the Process скачать в хорошем качестве

ASQ Ann Arbor, N Soderborg, Statistical Problem Solving in Industry: The People Side of the Process

ASQ Ann Arbor, 02MAR26 Topic Statistical Problem Solving in Industry: The People Side of the Process ABSTRACT Involving the right people is often essential to efficiently interpreting data generated by manufacturing organizations. Knowing who to involve comes from developing deep relationships across the organization--all the way from senior management to those on the factory floor. This talk presents the perspective of a 35-year career in industrial problem solving and highlights the importance of understanding how data is generated and who can explain it. It presents some examples of real-world data challenges and the story of how they were solved, not by fancy analysis techniques, but by connecting with the right people. A version of the talk was originally presented at the American Statistical Association's Quality and Productivity Research Conference (QPRC) in June 2023, in Houston, Texas. About Nathan Nathan has worked at the Engineering and Scientific consulting firm, Exponent, for 17 years, leading data-based analysis, problem resolution, and implementation of permanent improvements to product development, manufacturing, and quality Systems. Prior to his time at Exponent, Nathan spent 17 years at Ford Motor Co, in technical and management positions conducting data and risk analyses, leading quality improvement and data-based problem-solving, and applying system engineering solutions. He has a PhD in Mathematics and a MS in Engineering & Management. Nathan has published over 40 technical papers, instructional modules, patents. He is a Reliability & Six Sigma curriculum designer and trainer and college mathematics teacher. His credentials include Ford Motor Co. Certified Six Sigma Master Black Belt, ASQ senior member, Certified Reliability Engineer (CRE), Certified Six Sigma Black Belt (CSSBB). Past President of the Detroit Chapter of the American Statistical Association (ASA) and member of the Society for Industrial and Applied Mathematics (SIAM) and Society of Automotive Engineers (SAE).