Teaching Six-Sigma Concepts in a University Setting

1. 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 Francisco

2. 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 Francisco

3. 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 Francisco

4. 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 Francisco

5. 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 Francisco

6. 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 Francisco

7. 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 Francisco

8. 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 Francisco

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

10. 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 Francisco

11. 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 Francisco

12. 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. JSN 2003 San Francisco