Statistical Quality Control

Subject description

1. Introduction to statistical quality control.

2. Data sources for statistical quality control.

3. Sampling for statistical quality control.

4. Statistical process control

5. Control charts in theory and practice.

6. Experimental research and statistical quality control.

7. Statistical quality control in the service sector.

8. Statistical quality control in real time.

The subject is taught in programs

Objectives and competences

Introduction to statistical quality control at the advanced level with the emphasis on issues, relevant for statistical quality control in practice.

Teaching and learning methods

This course is a combination of lectures, presentations, in-class and computer lab assignments as well as seminar discussions based on student individual seminar papers.

Expected study results

  • Thorough understanding of theoretical and practical aspects of statistical quality control.
  • Thorough understanding of importance of statistical quality control in the framework of business analysis and planning.
  • Student ability to carry out research work in the area of statistical quality control.

Basic sources and literature

  • Beauregard, Michael R., Mikulak, Raymond J., Olson, Barbara A. (1992): A Practical Guide to Statistical Quality Improvement. Opening up the Statistical Toolbox. New York: Van Nostrand Reinhold.

  • Coleman, Shirley (ur.), Greenfield, Tony (ur.), Stewardson, Dave (ur.), Montgomery, Douglas C. (ur.). Statistical practice in business and industry, (Statistics in practice). Chichester: John Wiley & Sons, 2008.

  • Ruggeri, Fabrizio (ur.), Kenett, Ron S. (ur.), Faltin, Frederick W. (ur.). Encyclopedia of statistics in quality and realiability. Chichester: Wiley, 2007.

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