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CZECH TECHNICAL UNIVERSITY IN PRAGUE
STUDY PLANS
2019/2020

Quality and Reliability

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Code Completion Credits Range Language
BE1M13JAS1 Z,ZK 6 2P+2C English
Lecturer:
Pavel Mach (guarantor)
Tutor:
Pavel Mach (guarantor), Martin Molhanec
Supervisor:
Department of Electrotechnology
Synopsis:

Terminology and definitions from the area of quality and reliability and their control, philosophy of quality, systems of quality control in the world. Reliability as a part of quality. Basic definitions from the area of reliability, basic distributions used in reliability and their basic characteristics. Back-up using a warm and cold standby, types of warm and cold standbys. Reliability of components and systems, calculation of reliability using composition and decomposition. and using a method of a list. Basic statistical methods and tools joined with quality control, managerial tools for quality control. Techniques FMEA and QFFD, house of quality. Capability of a process. Taguchi loss function. Audits. Statistical inspection.

Requirements:

A student must attend at training courses and must obtain an assessment before examination. A knowledge of lectured matter and laboratory tasks will be required at examination.

Syllabus of lectures:

1.Terminology and definitions from the area of quality control and reliability. Systems of TQM, Kaizen, ISO 9000:2000, Poka-Yoke, Six Sigma.

2.Reliability as a part of quality. Basic reliability concepts. Basic reliability standards.

3.Types of reliability data. Theory of tolerances. Mathematical smoothing. Distributions used in reliability for a discrete variable.

4.Distributions used in reliability for a continuous variable.

5.Reliability of components and systems, method of composition and decomposition, method of a list.

6.Testing of data normality, data transformation.

7.Techniques of exploratory analysis, verification assumptions about data.

8.Accelerated reliability tests, Arrhenius and Eyring formula.

9.Derivation of reliability of and equipment, failure rate, repair rate.

10.Readiness, interval usability, coefficient of usability, coefficient of repairs. Systems with buffer containers.

11.Cold and warm standby, change of basic characteristics of a system by a back-up. Tree of failures, its construction and the use.

12.FMEA, QFD and house of quality.

13.Statistical inspection based on attributes, types of inspections.

14.Statistical inspection based on variables. Audits. Course of certification according to the ISO 9000:2000.

Syllabus of tutorials:

1.Examples of systems of quality control. Costs joined with low quality, costs for quality control. Structure of a book of quality.

2.Topisc of team projects. Structure of a case study.

3.Processing of a case study.

4.The practical use of a theory of tolerances. The practical use of a mathematical smoothing.

5.Examples for the use of distributions for a discrete variable.

6.Examples for the use of distributions for a continuous variable.

7.Examples of a composition and decomposition of a system. Method of a list.

8.Normality testing by the use of a QC Expert program, skewness-kurtosis test. The use of an exploratore analysis.

9.Accelerated reliability testing.

10.Processing of a case study.

11.Processing of a case study.

12.Processing of a case study.

13.Defense of the projects.

14.Defense of the projects. Assessment.

Study Objective:

Student will acquaint with basic systems for quality and reliability control and with characteristis of these parameters. He will meet with basic processes for calculation of quality and reliability parameters and with the basic tools for control these parameters.

Study materials:

1.David L. Goetsch, Stanley Davis. Quality Management for Organizational Excellence: Introduction to Total Quality. Pearson Education, 2012

2. Montgomery. D. C. Introduction to Statistical Quality Control. John Wiley & Sons. 2012, 17th edition

3. D. C. Summeras. Quality mangements. Prentice Hall. 2008

4. Pyzdek, T., Keller, P.: The Six Sigma Handbook, McGraw-Hill, 2014

5. Breyfogle III, F. W. Implementing Six Sigma. New York: John Wiley & Sons. 1999

Note:
Further information:
https://moodle.fel.cvut.cz/course/view.php?id=4014
Time-table for winter semester 2019/2020:
06:00–08:0008:00–10:0010:00–12:0012:00–14:0014:00–16:0016:00–18:0018:00–20:0020:00–22:0022:00–24:00
Mon
Tue
Fri
Thu
roomT2:A4-203b
Mach P.
12:45–14:15
(lecture parallel1)
Dejvice
Učebna
roomT2:C4-264
Molhanec M.
14:30–16:00
(lecture parallel1
parallel nr.1)

Dejvice
Laborator 264
Fri
Time-table for summer semester 2019/2020:
06:00–08:0008:00–10:0010:00–12:0012:00–14:0014:00–16:0016:00–18:0018:00–20:0020:00–22:0022:00–24:00
Mon
Tue
Fri
roomT2:C4-264

12:45–14:15
(lecture parallel1
parallel nr.102)

Dejvice
Laborator 264
roomT2:C4-264
Molhanec M.
14:30–16:00
(lecture parallel1
parallel nr.101)

Dejvice
Laborator 264
Thu
roomT2:C4-264
Mach P.
09:15–10:45
(lecture parallel1)
Dejvice
Laborator 264
Fri
The course is a part of the following study plans:
Data valid to 2020-07-10
For updated information see http://bilakniha.cvut.cz/en/predmet5627606.html