Moodle FEL ČVUT

Terms and definitions related to quality and reliability. Philosophy of quality and reliability. Basic quality control systems used worldwide: ISO 9000, Total Quality Management, Kaizen, Six Sigma, Lean, and Lean Six Sigma. Characteristics, principles, methods, and tools used in applications of these quality control systems. Other tools used in quality management systems: factorial experiments, Ishikawa's seven tools, seven new managerial tools, Taguchi's loss function, and quality function deployment. Analysis of failure modes and their effects, process capability. Statistical inspection. Basic concepts in reliability. Statistical distributions used in reliability, their characteristics, and applications. Reliability of components and systems; calculation of system reliability using the composition and decomposition method, the list method, and the minimum successful path method. Hot and cold backup, types of hot and cold backups. Reliability calculations associated with the use of these backups. Fault tree quantitative and qualitative analysis. The course aims to familiarize students with various quality systems and basic quality management tools and their use. Students will also gain a basic overview of the reliability issues and their solutions for individual components and for systems.

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.

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.

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.

Goetsch D. L., Davis S.: Quality Management for Organizational Excellence: Introduction to Total Quality. Pearson Education, 2012, ISBN 978-0132870979. Montgomery. D. C. Introduction to Statistical Quality Control. John Wiley & Sons. 2019, ISBN 978-1119657118, Pyzdek, T., Keller, P.: The Six Sigma Handbook, McGraw-Hill, 2014. John B., Acharya U.H., Chakraborty A. K.: Quality and Reliability Engineering: Recent Trends and Future Directions, Allied Publishers Pvt. Ltd. 2025, ISBN 978-8184248319, Beyer B., Jones, C., Petoff, J., Murphy N. R.: Site Reliability Engineering: How Google Runs Production Systems, O’Reily Media, 2016, ISBN 978-1491929124, Mukhopadyay N.: Quality reliability maintenance engineering management: Fundamental concepts on Quality Reliability Maintenance Engineering Management, Independently published, 2017, ASIN: B0754HBXB8, Wilkinson A.: Total Quality Management: A Comprehensive Guide to Excellence, Independently published, 2025, ISBN 979-8265580023, Tricker R.: Quality Management Systems: A Practical Guide to Standards Implementation, Routledge, 2019, ISBN 978-1000728057, Gulati, R.: Maintenance and Reliability Best Practices, Industrial Press, Inc., 2020, ISBN 978-0831136475, O’Connor D. T., Kleyner, A. V.: Practical Reliability Engineering, Wiley, 2025, ISBN 978-1394199969

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.