- 114 Views
- Uploaded on
- Presentation posted in: General

Teaching Six-Sigma Concepts in a University Setting

Download Policy: Content on the Website is provided to you AS IS for your information and personal use and may not be sold / licensed / shared on other websites without getting consent from its author.While downloading, if for some reason you are not able to download a presentation, the publisher may have deleted the file from their server.

- - - - - - - - - - - - - - - - - - - - - - - - - - E N D - - - - - - - - - - - - - - - - - - - - - - - - - -

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

- 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

- 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

- 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

- 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

- 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

- 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

- 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

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

- 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

- 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

- 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