Course title

Statistical Quality Control

Code

5.132

Professor

Prof. Vesna Bucevska, PhD

Course objectives:

 Upon successful finishing of this course, students will be able to:

1. Understand  the principles of modern statistical methods for quality control and improvement;
2. Use standard statistical quality control tools to analyze product data to determine whether or not processes are “in control”;
3. Gain a knowledge of contemporary business issues such as TQM and Six Sigma;
4. Explain optional statistical methods when traditional SPC practices have failed or are inadequate;
5. Understand the uses and benefits of advanced control charts and be able to construct and interpret them
6. Correctly describe how statistical quality control methods result in improvements in product and service quality reductions in manufacturing and service costs and increases in company efficiency and competitiveness.
7. Using computers, students will be able to prepare high quality graphical and tabular presentations of quality control data in standard quality control chart forms;
8. Understand the role that SPC plays in the overall control strategy for a process and company

Course content:

1.      QUALITY IMPROVEMENT IN MODERN BUSINESS ENVIRONMENT

2.      BASIC CONCEPTS IN STATISTICS AND PROBABILITY

3.      METHODS AND PHILOSOPHY OF STATISTICAL PROCESS CONTROL (SPC)

4.      CONTROL CHARTS FOR VARIABLES

5.      CONTROL CHARTS FOR ATTRIBUTES

6.       SPECIAL CONTROL CHARTS

7.      PROCESS CAPABILITY AND PRE-CONTROL: PROCESS AND MEASUREMENT SYSTEM CAPABILITY ANALYSIS

8.       FURTHER TOPICS IN CONTROL CHART AND APPLICATIONS

9.      MULTIVARIATE PROCESS MONITORING AND CONTROL

10.  ACCEPTANCE SAMPLING PLANS