ENIE 457 Quality Control (3)


Required course for majors in the industrial specialty.

 

Catalog Description:

The design and analysis of quality systems.  Fundamental coverage of statistical process control, quality control concepts, control charts, product specifications, process control, acceptance sampling systems, and other means of assurance widely used in many industries to improve product and service quality and to reduce costs.  Fall semester.  Lecture 3 hours, laboratory work included. 

 

Prerequisites:

ENGR 222 or BMGT 211 with grade of C or better. 

 

Text book/references:

Besterfield, Dale H., Quality Control, Sixth Edition, Prentice Hall, 2001.

 

Course Objectives: (numbers in brackets indicates the relationship to engineering program outcomes)

  1. Develop an understanding of quality control. (2)
  2. Understand the importance of the “Quality Management” and “Design of Experiments” (DOE). (2)
  3. Analyze basic techniques of quality control to achieve, sustain, and improve the quality of a product or service at the lowest cost. (2, 3)
  4. Understand the importance of quality control processes. (2)
  5. Discuss different case studies related to the quality control problems and new quality control techniques and their implementations, such as lean system, six-sigma, quality function deployment, etc. see how these decisions are important for the whole organization. (2, 7)
  6. Implement computer applications by using quality control software programs, such as SPC Expert (Statistical Process Control), SQC Version-1 (Statistical Quality Control) and Microsoft Excel. (3)

 

Class/laboratory schedule:

Lecture either three times per week at 50 minutes per class, or two times per week at 75 minutes per class, or once per week at 150 minutes per class.

 

Topics Covered:

Week                              Topic

1.                                            Introduction

2.                                            Introduction to Quality

3.                                            Quality Management – Principles and Practices

4.                                            Quality Management – Tools and Techniques

5.                                            Design of Experiments (DOE)

6.                                            Control Charts for Variables

7.                                            Control Charts for Variables

8.                                            Additional SPC Techniques for Variables

9.                                            Control Charts for Attributes            

10.                                         Control Charts for Attributes

11.                                         Lot-By-Lot Accepting Sampling by Attributes

12.                                         Lot-By-Lot Accepting Sampling by Attributes

13.                                         Acceptance Sampling Systems

14.                                         Acceptance Sampling Systems

 

Contribution to Professional Component:

Contributes toward the 1.5 years of engineering topics as a 3 credit hour course in engineering sciences.


Relationship of course to program outcomes:

This course supports engineering outcomes 2, 3, and 7.

Prepared by:  Dr. Neslihan Alp, 05/12/03