Journey to a New Discipline Statistical Engineering WHAT

Journey to a New Discipline Statistical Engineering WHAT IS STATISTICAL ENGINEERING? The study of systematic integration of statistical concepts, methods, and tools, often with other relevant disciplines, to solve important problems sustainably. WHY STATISTICAL ENGINEERING? • • • Problem solvers are faced with enormous problems such as; Lower cost healthcare, cleaner environment and globally competitive manufacturing. Cohesive body of knowledge for solving such problems is lacking. Collection and analysis of high quality, relevant data is critical to success. • Big Data approaches are useful but not sufficient Statistical Engineering provides the integration needed to fill the gap. Need for Statistical Engineering educational programs and increased published applications of the discipline is vital and urgent. CORE PROCESSES UTILIZED IN STATISTICAL ENGINEERING • • • Data acquisition, including surveys and experiments Data exploration and visualization Model building Drawing inferences (learning) from models Solution deployment and sustainability BENEFITS OF STATISTICAL ENGINEERING • • • More effective problem solving Discipline that can be learned, utilized and enhanced Better, more effective use of data Sustainability of solutions and results Broader understanding and utility of statistical thinking and methods

STATISTICAL ENGINEERING STEERING COMMITTEE Christine Anderson-Cook, Los Alamos National Lab William Brenneman, Procter and Gamble Stephanie De. Hart, Eastman Chemical Company Ronald Does, University of Amsterdam Laura Freeman, Institute for Defense Analysis Will Guthrie, National Institute of Standards and Technology Lynne Hare, Statistical Strategies, LLC (Kraft Foods retired) Roger Hoerl, Union College (GE retired) Willis Jensen, W. L. Gore and Associates Tom Johnson, Institute for Defense Analysis Allison Jones-Farmer, Miami University Dean Neubauer, Corning Inc. Pete Parker, NASA Jim Simpson, JK Analytics Ron Snee, Snee Associates, LLC (Du. Pont retired) Stefan Steiner, University of Waterloo Xavier Tort, Universitat Politecnica de Catalunya Barcelona Geoff Vining, Virginia Tech REFERENCES “Special Issue on Statistical Engineering” (2012) C. M. Anderson-Cook and L. Lu, Guest Editors, Quality Engineering, Vol. 24, No. 2, Free publication “Statistical Engineering – An Idea Whose Time Has Come”, The American Statistician, Vol. 71, No. 3, 209 -219. Roger W. Hoerl and Ronald D. Snee (2017)