Course title

Statistical quality control

Code

MST 250

Professor

Prof. Vesna Bucevska,PhD

Course objectives (competences):

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:

This course is an introduction to the basic philosophy of quality control and statistical tools used in quality improvement. Total Quality Management (TQM) will also be presented to provide context for Statistical Quality Control (SQC) and to illustrate its importance to business and industry. SQC is a widely used system of techniques that touch almost all sectors of economy. The two main areas of SQC, namely, statistical process control and acceptance sampling are dealt with comprehensively in this subject to prepare the students well-versed with the techniques being followed in modern industries. Thus, it will provide the framework and methods for present and potential business managers and entrepreneurs to approach quality as a strategic and competitive variable. Lectures will be held in a specially equipped computer lab using  the statistical software package Statgraphics.