System Reliability and Total Quality Management

The course is a substitute for:

System Reliability and Total Quality Management (33SPO)

Lecturer:

Libor Přeučil (gar.)

Tutor:

Libor Přeučil (gar.)

Supervisor:

Department of Cybernetics

Synopsis:

The course aims to introduce basic methods, approaches and tools for evaluation of reliability in technical systems. The other presented sub-topic deals with methods and tools for total quality management (TQM). The problems of TQM will be presented from various aspects and will range from basics in statistical evaluation of a system component reliability accrovs both the classical and new (Japaneese) quality assurance tools to problems of TQM on the topmanagement level.

Requirements:

Syllabus of lectures:

1. Introduction into technical diagnostics and total quality management (TQM)

2. Statistical tools for diagnostics and planning of goal-oriented experiments

3. Statistical variables, random processes and their application in diagnostics

4. Typical statistical distributions and parameter estimation methods

5. An experiment design, real process sampling and subgroup selection

6. Component and complex system's reliability, calc. of composite reliabilities

7. System backup and systems with time-dependent reliability of components

8. Structure of TQM systems

9. Evaluation of the functioning quality of a SW product

10. Production process quality, human factors, American and Japanese solutions

11.Classic tools for improving quality

12. New Japanese tools for quality management

13. Strategy in quality management (production process and human factor)

14. Principles of stratification analysis

Syllabus of tutorials:

1. Problem definition, what is TQM and illustrative examples

2. Introduction to mathematical statistics, basic terms and relations

3. Distribution law properties, physical background and examples

4. Data gathering, planned experiment (examples), process sampling requirements

5. Properties of the process sampling - problem analysis (US Military Standard)

6. System's components and complex system's reliability, linking of systems

7. Analysis of highly complex systems and their reliability, examples

8. Systems with self-recovering components, Markov chains, examples

9. Student project definition

10. Cause-and-effect analysis, stratification analysis

11. Consulting the student project

12. Histograms and scatter diagrams in quality management

13. Student project presentation

14. TQM - the Japanese approach, examples

Study Objective:

Study materials:

[1] DeVor, R.E., et al.: Statistical Quality Design and Control (Contemporary Concepts and Methods). McMillan Publ., U.S.A. 1992, ISBN: 0-02-329180-X

[2] Kolarik, W.J.: Creating Quality (Concepts, Systems, Strategies, and Tools). McGraw-Hill Publ. 1995, ISBN: 0-07- 035217-8

Note:

Further information:

No time-table has been prepared for this course

The course is a part of the following study plans:

• Cybernetics and Measurements - Control Engineering- structured studies (compulsory course)
• Cybernetics and Measurements - Artificial Intelligence- structured studies (compulsory course)
• Cybernetics and Measurements - Measurement and Instrumentation Systems- structured studies (compulsory course)
• Cybernetics and Measurements - Aeronautical Engineering and Control Systems- structured studies (compulsory course)