IE 339 Statistical Quality Control

 

Prerequisite: STAT 324

Textbook: Statistical Quality Control: Strategies and Tools for Continual Improvement by Ledolter and Burrill

Learning Objectives:

The course is designed to introduce the students to statistical methods and other problem- solving techniques required in the area of quality control. These techniques are used to control the process performance, diagnose quality problems and develop sustainable improvement. The course also covers the tools which used in the industry to measure the quality characteristics. Finally, the students will be introduced to the latest quality management methodologies and its application in the industrial systems.

Topics (classes):

1 Introduction to Statistical Quality Control Course  1 class

2 Basic Concepts of Quality Control                  1 class

3 Quality in the Modern Business Environment  1 class

4 Basic Concepts of Statistics and Probability  3 classes

5 Statistical Tools for Analyzing Data   3 classes

6 Statistical Process Control  2 classes

7 Control Charts   1 class

   Control Charts for Variables 1 class

8 Control Charts for Attributes  1 class

   Other Control Charts  1 class

9 Processes Capability  2 classes

10 Acceptance Sampling  3 classes

11 Designing for Quality   2 classes

12 Methods of Quality Improvement 3 classes

13 Quality Costs  3 classes

14 Quality Management System  2 classes

15 Introduction to Total Quality Management (TQM), Six Sigma, Balance Score Card (BSC), ISO 9001, and Kazien. 3 classes

 

Laboratory Topics:

1 Introduction to measuring devices and measurements errors.

2 Measurement of different dimensions ( length, width and height) of a work piece and using SPC computer package

3 Construction of attribute p and c charts

4 Process capability study and Gauge R&R

 

Project work:

The project of this course should cover these items:

 Data collection, by measurements or by using plants data

 Identifying uncertainties in the data

 The use of statistical control computer package to analyze and to construct the required control charts

 Discussion and interpretation of the results Computer Usage Minitab or R software packages