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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

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Teaching Six-Sigma Concepts in a University Setting

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Teaching six sigma concepts in a university setting l.jpg

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


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  • 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


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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


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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


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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


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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


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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


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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


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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


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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


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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


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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


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