Quality Control Systems
Code  Completion  Credits  Range  Language 

XP13SJD  Z,ZK  4  2P+2S  Czech 
 Garant předmětu:
 Pavel Mach
 Lecturer:
 Pavel Mach, Martin Molhanec
 Tutor:
 Pavel Mach, Martin Molhanec
 Supervisor:
 Department of Electrotechnology
 Synopsis:

The concept of quality and reliability. Basic quality management systems. ISO 9000, TQM, Kaizen. Basic characteristics of ISO 9000. Quality manual. Quality loop. Factor experiments and their role in quality. Mathematical model based on factor experiments. Optimization of mathematical model. Six Sigma quality management system and its implementation. Basic tools of the Six Sigma system. Reliability as a subset of quality. Mathematical distributions used in the field of reliability. Usage and maintenance coefficient. Backup  types and mathematical description. Accelerated reliability testing. Processing and analysis of experimental data.
 Requirements:

Students must have completed a basic course on probability and reliability.
 Syllabus of lectures:

1. Modern philosophy of quality and reliability management. ISO 9000, Six Sigma, TQM.
2. ISO 9000 and elements of this quality system. Quality Manual. Spiral of quality.
3. Total Quality Management (TQM). Quality as a competitive strategy. TQM, organizational considerations, system approach.
4. Factor experiments.
5. Mathematical model based on factor experiments. Optimization of various types of mathematical models.
6. Six Sigma  basic strategy and procedure of its implementation. Basic tools for Six Sigma application.
7. Regulation diagrams and their processing.
8. Statistical process control (SPC). Selected basic and advanced SPC tools. 6 Ishikawa tools.
9. 7 new quality management tools. QFD  Quality Function Deployment. House of quality.
10. Reliability as a subset of quality.
11. Basic types of mathematical distributions used in reliability.
12. Accelerated reliability testing. Reliability of different types of chains.
13. Backup  types and their mathematical description.
14. Processing and analysis of experimental data.
 Syllabus of tutorials:

1. Basic concepts of probability and reliability. Solving examples.
2. ISO 9000 Quality Manual for Power Semiconductor Manufacturers.
3. Task: quality manual for the specified process type.
4. Task: quality manual for the specified process type.
5. Calculation of a mathematical model for a given process type using factor experiments.
6. Calculation of a mathematical model for a given process type using factor experiments.
7. Testing and modeling using Ftest. Process optimization based on the model created.
8. Calculation of the control diagram for a given process type.
9. Assignment of individual student work.
10. Solution of individual student work.
11. Solution of individual student work.
12. Individual student work solution.
13. Defense of individual student work.
14. Assessment.
 Study Objective:

The aim of the course is to provide students with basic knowledge of quality and reliability with information that will enable them to actively use computational tools for evaluation and management of quality and reliability. The course offers students a basic approach to quality philosophy and its theory and practice. Students will learn to use some mathematical tools for quality and reliability management and to interpret the results of this mathematical processing.
 Study materials:

[1] Montgomery, D.C.: Introductiont to Statistical Quality Control. John Wiley and Sons. 2016. ISBN 9781118146811
[2] Breyfogle III F. W.: Implementing Six Sigma. John Wiley and Sons. 2003. ISBN 0471265721
[3] O'Connor, P. D. T.: Practical Reliability Engineering. John Wiley and Sons. 2010. ISBN 9780470844635
 Note:
 Further information:
 http://www.fel.cvut.cz/education/bk/predmety/11/85/p11850304.html
 Timetable for winter semester 2022/2023:
 Timetable is not available yet
 Timetable for summer semester 2022/2023:
 Timetable is not available yet
 The course is a part of the following study plans:

 Doctoral studies, daily studies (compulsory elective course)
 Doctoral studies, combined studies (compulsory elective course)
 Doctoral studies, structured daily studies (compulsory elective course)
 Doctoral studies, structured combined studies (compulsory elective course)