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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
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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
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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
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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
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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
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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)
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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
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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
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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
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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
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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
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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.
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