Learning Outcomes

At the end of this course, students should be able to:

[1]    Explain the basic quality principles and practices, quality solving techniques, and product reliability related to manufacturing practices.

[2]    Apply the quality solving techniques such as SPC for variables and attributes, sampling techniques in manufacturing product.

[3]    Analyze the manufacturing process and its capability using variable and attributes control.

[4]    Design sampling method for quality control.

Synopsis

There are three main sections of this course; quality principles and practices; quality solving techniques; and current quality development issues. In Quality Principles & Practices, its covers quality basic, quality gurus, introduction to total quality management, and quality awards. Quality Solving Techniques will cover statistical process control (7 QC tools), Statistical Process Control, process capability and sampling technique. Since the quality also concern about design, the techniques required is involved the quality by design; introduction to DOE and Taguchi methods.

References

[1]    Besterfield, D. H., 2013, Quality Control, 9th Edition, Prentice Hall.

[2]    Montgomery D. C., 2013, Statistical Quality Control: A Modern Introduction, 7th Edition, John Wiley and Sons, Inc.

[3]    Pyzdek, T., Keller, P., 2013, The Handbook for Quality Management, 2nd Edition. McGraw Hill.

[4]    Summers, D. C., 2010, Quality, 5th Edition, Prentice Hall.