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Lecturer(s)
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Benešová Andrea, Ing. Ph.D.
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Kupka Lukáš, Ing. Ph.D.
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Tůmová Olga, Doc. Ing. CSc.
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Course content
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Lectures: 1) Mathematical tools, probability theory and mathematical statistics 2) Continuous and discontinuous distribution forms, standards in quality area, Juran trilogy of quality 3) Quality control and improvement tools 4) Quality control and improvement tools 5) Statistical process control - Control charts by variables, Process capability evaluation 6) Statistical process control - Control charts by attributes 7) Statistical sampling by variables 8) Statistical sampling by attributes, Seven management and planing tools 9) Tools for quality planning - APQP, QFD, Control plan 10) FMEA - Failure mode and effect analysis 11) DOE - Design of experiments 12) Tools for quality improvement - PDCA cycle, 8D methodology 13) Lean - DMAIC, lean production, poka-yoke, 5S, 6 sigma - principles, DFSS Tutorials: 1) Fundamentals of probability, characteristics of random processes 2) Application statistics in quality control, normal distribution 3) Examples of stratifications, flow-charts, cause and effect diagrams 4) Examples of Pareto analysis, histograms, scatter diagrams 5) Examples of Shewhart control charts by variables 6) Examples of Shewhart control charts by attributes 7) Examples of statistical sampling by attributes 8) Examples of statistical sampling by variable 9) Test 10) Process FMEA 11) DOE methodology - design and evaluation of the experiment 12) 8D Report example 13) Consultation and credit
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Learning activities and teaching methods
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Laboratory work, Lecture
- Preparation for comprehensive test (10-40)
- 20 hours per semester
- Contact hours
- 52 hours per semester
- Preparation for an examination (30-60)
- 35 hours per semester
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| prerequisite |
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| Skills |
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| apply basic knowledges from probability and statistics and basic knowledges from measurement |
| learning outcomes |
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| Knowledge |
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| explain basic characteristics of random processes |
| distinguish among tools for quality planning, quality control and quality improvement |
| Skills |
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| use tools for quality planning, quality control and quality improvement |
| Competences |
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| N/A |
| teaching methods |
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| Knowledge |
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| Lecture |
| Practicum |
| Skills |
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| Practicum |
| Competences |
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| Practicum |
| assessment methods |
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| Knowledge |
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| Test |
| Oral exam |
| Skills |
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| Test |
| Competences |
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| Test |
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Recommended literature
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Analýza možných způsobů a důsledků poruch (FMEA) : referenční příručka. 4. vyd. Praha : Česká společnost pro jakost, 2008. ISBN 978-80-02-02101-8.
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Moderní plánování kvality produktu (APQP) a plán kontroly a řízení : referenční příručka. 2. vyd. Praha : Česká společnost pro jakost, 2009. ISBN 978-80-02-02142-1.
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Statistická regulace procesů (SPC) : příručka. 2. vyd. Praha : Česká společnost pro jakost, 2006. ISBN 80-02-01810-9.
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Montgomery, Douglas C. Introduction to statistical quality control. Hoboken : John Wiley & Sons, 2005. ISBN 0-471-65631-3.
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Oakland, John S. Statistical process control. 6th ed. Oxford : Elsevier Butterworth-Heinemann, 2008. ISBN 978-0-08-055173-9.
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Tůmová, Olga. Metrologie a hodnocení procesů. 1. vyd. Praha : BEN - technická literatura, 2009. ISBN 978-80-7300-249-7.
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Tůmová, Olga; Pirich, Dušan. Nástroje řízení jakosti a základy technické diagnostiky. V Plzni : Západočeská univerzita, 2003. ISBN 80-7043-247-0.
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