JSN 2003 San Francisco1 Teaching Six-Sigma Concepts in a University Setting Doug Montgomery & Richard Burdick, Arizona State University Don Holcomb, Honeywell Engines Systems & Services Cheryl Jennings, Harry Shah, Dave Sebert, Motorola SPS Cathy Lawson, Fran Zenzen & Wade Molnau, General Dynamics Decision Systems

JSN 2003 San Francisco2  Much of the education in six-sigma has been done excluding universities In-company training programs Consultants Extension education at a few universities  Need to integrate six-sigma principles into regular degree programs  Provide meaningful university level six- sigma education for practicing professionals

JSN 2003 San Francisco3 Statistics at ASU  No statistics department  Statistics committee (interdisciplinary) administers the MS Statistics degree  Doctoral level students in Mathematics, Engineering, College of Business  The statistics committee also administers a Graduate Certificate in Statistics

JSN 2003 San Francisco4 The ASU Graduate Certificate Program in Statistics  Students take five approved courses  Certificate can be pursued as part of a graduate degree or as a stand-alone program  Emphasis area in industrial statistics and six-sigma methods

JSN 2003 San Francisco5 The Five Courses  Design of Experiments Emphasis on industrial experimentation Factorials, two-level designs, fractionals, blocking, RSM (overview), random factors Project  Regression Analysis Linear and nonlinear regression models, intro to other topics including GLMs, robust fitting SAS/Minitab experience Project

JSN 2003 San Francisco6 The Five Courses  Statistical Quality Control Shewhart control charts Measurement systems analysis Process capability analysis EWMAs, CUSUMs, other univariate techniques Multivariate process monitoring EPC/SPC integration Other topics (instructor choice)

JSN 2003 San Francisco7 The Five Courses  Six-Sigma Methods How to use tools (case studies, illustrations) DMAIC framework Non-statistical skills Design for six-sigma, lean concepts Taught by six-sigma black belts from industry

JSN 2003 San Francisco8 The Five Courses  Six-Sigma Project 150 hour duration Typical industrial BB project Must use DMAIC approach, statistical tools Supervised by faculty & industrial mentor/sponsor

JSN 2003 San Francisco9 The Five Courses Semester 1: DOX Regression Semester 1: SQC Six-Sigma Methods Semester 3: Six-Sigma Project Currently using traditional course delivery, web-based courses in development

JSN 2003 San Francisco10 The Five Courses  Fourteen ASU graduate students will complete the program this summer  Students completing the program earn: ASU Graduate Certificate in Statistics ASU Engineering College Six-Sigma Black Belt Certificate  Fall 2003 offering of the Six-Sigma Methods course is full

JSN 2003 San Francisco11 Project Examples  Reduce average internal cycle time of instrument calibration lab  Develop prediction model for rate of customer returns to quantify benefits of yield and test coverage improvements, and to identify parts within a technology that do not fit the model

JSN 2003 San Francisco12 Project Examples  Analyze supplier quality database and identify chronic supplier performance problems and variables affecting procurement cycle times.  Analyze data from a survey concerning the performance of the Quality Assurance department and identify business drivers which affect customer satisfaction.