| Course Unit Code | 639-2005/02 |
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| Number of ECTS Credits Allocated | 6 ECTS credits |
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| Type of Course Unit * | Compulsory |
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| Level of Course Unit * | First Cycle |
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| Year of Study * | Third Year |
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| Semester when the Course Unit is delivered | Winter Semester |
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| Mode of Delivery | Face-to-face |
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| Language of Instruction | Czech |
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| Prerequisites and Co-Requisites | Course succeeds to compulsory courses of previous semester |
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| Name of Lecturer(s) | Personal ID | Name |
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| NOS35 | prof. Ing. Darja Noskievičová, CSc. |
| Summary |
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Students obtain the theoretical information and practical experience with construction and results interpretation of basic statistical and graphic tools for quality management (histograms,control sheets, flow charts,Pareto charts, Ishikawa diagram, scatter plots, basic control charts).
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| Learning Outcomes of the Course Unit |
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Students will:
- undestand statistical base of following methods;
- know preconditions for their application;
- be able to apply in practice following statistical and graphical methods and interpret obtained results for management and improvement of processes.
Mentioned methods are:
- Histogram
- Pareto chart
- Ishikawa diagram
- Scatter plot
- SPC methods
- Flow chart
- Check sheets
_Acceptance sampling
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| Course Contents |
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1. Meaning of statistical methods for quality management. Quality characteristics and random variables.
2. Fundamentals of mathematical statistics and theory of probability (repetition).
3. Analysis of the process variation. Common and assignable causes of the process variation. Explanation of the therms „Statistically stable process“, „Capable process“, their relationships.
4. Basic description and examples of application of SQC methods.
5. Check sheets. Flow charts (theory, interpretation, application).
6. Histograms (theory, interpretation, application).
7. Scatter plots (theory, interpretation, application). Basics of regression and correlation analysis.
8. Fishbone diagram. Brainstorming.
9. Pareto analysis.
10. Basics of statistical process control (SPC). Shewhart control charts.
11. Variables SPC.
12. Attributes SPC.
13. Basics of acceptance sampling. Sampling plans. Operating characteristics curve.
14. ISO standards for SPC and acceptance sampling.
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| Recommended or Required Reading |
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| Required Reading: |
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MONTGOMERY, D. C. Statistical quality control: A modern introduction. Hoboken: J. Wiley, 2013. ISBN 978-1118146811.
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http://katedry.fmmi.vsb.cz/Opory_FMMI/639/639-Noskievicova-Zakladni-statisticke-metody-MJ.pdf
MONTGOMERY, D. C. Statistical quality control: A modern introduction. Hoboken: J. Wiley, 2013. ISBN 978-1118146811.
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| Recommended Reading: |
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MITRA, A. Fundamentals of quality control and improvement. Hoboken: Wiley, 2016. ISBN: 978-1-118-70514-8.
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JAROŠOVÁ, E. a D. NOSKIEVIČOVÁ. Pokročilejší metody statistické regulace procesu. Praha: Grada, 2015. ISBN 978-80-247-5355-3.
MITRA, A. Fundamentals of quality control and improvement. Hoboken: Wiley, 2016. ISBN: 978-1-118-70514-8.
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| Planned learning activities and teaching methods |
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| Lectures, Tutorials, Project work |
| Assesment methods and criteria |
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| Task Title | Task Type | Maximum Number of Points
(Act. for Subtasks) | Minimum Number of Points for Task Passing |
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| Credit and Examination | Credit and Examination | 100 (100) | 51 |
| Credit | Credit | 40 | 20 |
| Examination | Examination | 60 | 31 |