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IME 467 - Total Quality and Taguchi Methods

 

 

COURSE DESCRIPTION

Industrial and Manufacturing Engineering- Total Quality and Taguchi Methods (3) (3,0) (IME 467)

Elective Course

Fall and Spring Semesters 2007 - 2008

 

 

2007-2008

Catalog Data:

467-3 TOTAL QUALITY AND TAGUCHI METHODS.

Apply concepts and methods of quality improvement including total quality, quality function deployment, design of experiments, quality loss function, etc. Case studies and software tools. Prerequisites: 465 or consent of instructor.

 

 

Textbook(s):

Knowledge Based Management by S. Schmidt, M. Kiemele, and R. Berdine, Air Academy 1997.

Understanding Industrial Designed Experiments by S.R. Schmidt and R.G. Launsby, Air Academy, 4th Ed., 2000.

 

 

Coordinator:

H. Felix Lee, Professor of Industrial and Manufacturing Engineering.

 

 

Topics and Schedule:

1. Total Quality and Quality Measurement (3 hr)
2. Philosophies on Total Quality (3 hr)
3. Implementation Strategies (3 hr)
4. Tools and Techniques for Total Quality (3 hr)
5. Steps to Quality Improvement (3 hr)
6. Variance Reduction Techniques (6 hr)
7. Experimental Designs and Analysis (12 hr)
8. Quality Function Deployment (6 hr)
9. Taguchi Philosophy, Design, and Analysis (3 hr)
10. Recent Quality Issues (6 hr)

 

 

Professional Component:

This course introduces a total view on quality from management to design to control, with emphasis on quality management and design. It teaches practical and statistical methods necessary to improve quality in various industries. This course is an engineering topics course with significant engineering design content.

 

 

Course Outcomes

Students successfully completing this course will have the ability to:

 

1.   Understand total quality and measure quality using different methods.

2.   Apply tools and techniques used in total quality.

3.   Understand the continuous quality improvement process.

4.   Design industrial experiments including Taguchi designs and statistically analyze experimental results.

              i) Design industrial experiments.

              ii) Statistically analyze experimental results.

 

 

 

Prepared by:

H. Felix Lee, Professor of Industrial and Manufacturing Engineering.

 

 

Date:

May 24, 2008

 

Program Educational Objective.Outcome

General Course Outcomes

IME 467

 

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1.3

 

 

 

 

1.4

 

 

 

 

 

 

 

 

 

2.1

P

 

 

 

2.2

 

 

 

P

2.3

 

 

 

P

2.4

 

 

 

P

 

 

 

 

 

3.1

 

P

 

 

3.2

 

 

P

 

3.3

 

P

 

 

3.4

 

 

P

 

3.5

 

P

 

 

 

 

 

 

 

4.1

 

 

 

 

4.2

 

 

 

 

4.3

 

 

 

 

4.4

 

 

 

 

©2007
Southern Illinois University Edwardsville
Last Updated: June 12, 2008