Presented By: Integrative Systems + Design
Manufacturing Research Seminar: Research Challenges in Manufacturing Analytics
Dr. Jeffrey A. Abell, Director and Chief Scientist of Manufacturing Systems Research, General Motors Global Research and Development
Abstract
Recent discussion of “big data” has focused on data, software, and methods with an emphasis on retail and personalization of services and products. Big data also has impacted engineering and manufacturing and has resulted in better and more efficient manufacturing operations, improved quality, and more personalized products. A less apparent effect is that big data has changed the way that we solve problems: the problems we choose to solve, the strategy we seek, and the tools we employ. An example of this is how the “big data” style of thinking enabled the development of a new quality assurance philosophy called process monitoring for quality. A blend of process monitoring and quality control, that is founded on big data and big models; catalysts for the next step in the evolution of the quality movement. Process monitoring for quality was used to evaluate the performance of the ultrasonically welded battery tabs in the new Chevrolet Volt, an extended range electric vehicle. Additional examples and illustrative case studies will be presented.
Bio
Dr. Jeffrey Abell is Director and Chief Scientist of Manufacturing Systems Research at General Motors. He is responsible for manufacturing research in the company including vehicle electrification, lightweight materials processing, automation, and artificial intelligence/analytics. Previously, he was responsible for battery manufacturing research and his team played a key role in bringing the Chevy Volt advanced high power battery to production. He has successfully implemented various evolutionary based optimization methods to solve complex industrial design problems and was awarded the 2011 and 2014 General Motors Boss Kettering Awards for outstanding technical innovation. He has a Bachelor’s of Mechanical Engineering degree from General Motors Institute (now Kettering University), and graduate degrees in Systems Engineering from Oakland University.
Dr. Abell has also held a number of positions in the product development and manufacturing engineering at GM, Delphi, and DaimlerChrysler, including two international assignments.
Dr. Abell is a Fellow of the Society of Manufacturing Engineers (SME) and a licensed Professional Engineer (Michigan). He has written numerous technical publications and is active in various professional societies and associations. He can be reached at jeffrey.abell@gm.com.
Recent discussion of “big data” has focused on data, software, and methods with an emphasis on retail and personalization of services and products. Big data also has impacted engineering and manufacturing and has resulted in better and more efficient manufacturing operations, improved quality, and more personalized products. A less apparent effect is that big data has changed the way that we solve problems: the problems we choose to solve, the strategy we seek, and the tools we employ. An example of this is how the “big data” style of thinking enabled the development of a new quality assurance philosophy called process monitoring for quality. A blend of process monitoring and quality control, that is founded on big data and big models; catalysts for the next step in the evolution of the quality movement. Process monitoring for quality was used to evaluate the performance of the ultrasonically welded battery tabs in the new Chevrolet Volt, an extended range electric vehicle. Additional examples and illustrative case studies will be presented.
Bio
Dr. Jeffrey Abell is Director and Chief Scientist of Manufacturing Systems Research at General Motors. He is responsible for manufacturing research in the company including vehicle electrification, lightweight materials processing, automation, and artificial intelligence/analytics. Previously, he was responsible for battery manufacturing research and his team played a key role in bringing the Chevy Volt advanced high power battery to production. He has successfully implemented various evolutionary based optimization methods to solve complex industrial design problems and was awarded the 2011 and 2014 General Motors Boss Kettering Awards for outstanding technical innovation. He has a Bachelor’s of Mechanical Engineering degree from General Motors Institute (now Kettering University), and graduate degrees in Systems Engineering from Oakland University.
Dr. Abell has also held a number of positions in the product development and manufacturing engineering at GM, Delphi, and DaimlerChrysler, including two international assignments.
Dr. Abell is a Fellow of the Society of Manufacturing Engineers (SME) and a licensed Professional Engineer (Michigan). He has written numerous technical publications and is active in various professional societies and associations. He can be reached at jeffrey.abell@gm.com.
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