XE33SPO - System Reliability and Total Quality Management

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.

lesson | seminar | literature | examination

Lesson content:

  1. (S) Introduction into technical diagnostics and total quality management (TQM)
  2. (S) Statistical tools for diagnostics and planning of goal-oriented experiments Reliability definition
  3. (S) Statistical variables, random processes and their application in diagnostics Distribution functions
  4. (S) Typical statistical distributions and parameter estimation methods Estimation of distribution parameters, Complex systems
  5. (S) An experiment design, real process sampling and subgroup selection Complex systems, systems with backup
  6. (S) Component and complex system's reliability, calc. of composite reliabilities Theory of recovery
  7. (S) System backup and systems with time-dependent reliability of components Markov models
  8. (P) Structure of TQM systems Process Design
  9. (P) Evaluation of the functioning quality of a SW product Methods of Quality Control
  10. (P) Production process quality, human factors, American and Japanese solutions Taguchis' Approach to Quality
  11. (P) Classic tools for improving quality Shewharts' Model Buildup
  12. (P) New Japanese tools for quality management Statistical Process Control
  13. (P) Strategy in quality management (production process and human factor)
  14. (P) Principles of stratification analysis


(P) Ing.Libor Přeučil, CSc.{preucil@labe.felk.cvut.cz}
(S) RNDr.Petr Štěpán, Ph.D.{stepan@labe.felk.cvut.cz}

Recommended literature:


NumberDateRoom Topic
1.11.3.K3 Introduction, seminar organization. Probability introduction
2.18.3.K3 Probabilty training
3.25.3.K3 Distribution functions
4.2.4.K3 Paramters of distribution functions
5.9.4.K3 Complex system, parallel, serial
6.16.4.K3 Reliability of complex systems, method of paths and cuts
7.23.4.K3 Method using index
8.30.4.K3 System with backup
9.6.5.K3 System with different failure types, Markov models
10.13.5.K3 Free day - Dean day
11.20.5.K3 Markov Models
12.27.5.K3 Markov models
13.3.6.K3 Seminar test

Seminar lecturer 

RNDr. Petr Štěpán, Ph.D.{stepan@labe.felk.cvut.cz}


The students have to pass the seminar written test.

The final examination uses the result from seminar written test and has only oral part.


Room K220 and K3 is in building E electrotechnical faculty Karlovo náměstí 13.

This pages can change. If you find some inconsistence, please contact your seminar lecturer.

Last modification: 7.3.2007                                        webmaster: stepan@labe.felk.cvut.cz