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Main menu for Browse IS/STAG
Course info
KET / NRK
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Course description
Department/Unit / Abbreviation
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KET
/
NRK
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Academic Year
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2023/2024
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Academic Year
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2023/2024
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Title
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Quality Management Tools in EE
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Form of course completion
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Exam
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Form of course completion
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Exam
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Long Title
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Quality Management Tools in Electrical Engineering
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Accredited / Credits
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Yes,
4
Cred.
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Type of completion
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Combined
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Type of completion
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Combined
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Time requirements
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Lecture
2
[Hours/Week]
Tutorial
2
[Hours/Week]
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Course credit prior to examination
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Yes
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Course credit prior to examination
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Yes
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Automatic acceptance of credit before examination
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No
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Included in study average
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YES
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Language of instruction
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Czech, English
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Occ/max
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|
|
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Automatic acceptance of credit before examination
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No
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Summer semester
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0 / -
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0 / -
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0 / -
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Included in study average
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YES
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Winter semester
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0 / -
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12 / -
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17 / -
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Repeated registration
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NO
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Repeated registration
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NO
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Timetable
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Yes
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Semester taught
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Winter semester
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Semester taught
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Winter semester
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Minimum (B + C) students
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10
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Optional course |
Yes
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Optional course
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Yes
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Language of instruction
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Czech, English
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Internship duration
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0
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No. of hours of on-premise lessons |
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Evaluation scale |
1|2|3|4 |
Periodicity |
každý rok
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Evaluation scale for credit before examination |
S|N |
Periodicita upřesnění |
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Fundamental theoretical course |
No
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Fundamental course |
Yes
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Fundamental theoretical course |
No
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Evaluation scale |
1|2|3|4 |
Evaluation scale for credit before examination |
S|N |
Substituted course
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None
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Preclusive courses
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N/A
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Prerequisite courses
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N/A
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Informally recommended courses
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N/A
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Courses depending on this Course
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KET/SNRTP
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Histogram of students' grades over the years:
Graphic PNG
,
XLS
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Course objectives:
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To apprise with the tool for quality planing, quality control and quality improvement used in elekctrical engineering and to understand principles of tools.
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Requirements on student
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Course credit requirements:
- participation on tutorials
- test from the first part of lectured subject (cca 2/3 of semester)
- proactive participation on tutorials
Examination requirements:
- course credit
- subject knowledge in the scope of lectures, tutorials and students book
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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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Activities
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Fields of study
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Studijní opory jsou dostupné na Courseware.
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Guarantors and lecturers
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-
Guarantors:
Ing. Petr Netolický, Ph.D. ,
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Lecturer:
Ing. Petr Netolický, Ph.D. (50%),
Doc. Ing. Olga Tůmová, CSc. (50%),
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Tutorial lecturer:
Ing. Lukáš Kupka, Ph.D. (10%),
Ing. Petr Netolický, Ph.D. (40%),
Doc. Ing. Olga Tůmová, CSc. (50%),
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Literature
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Extending:
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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Extending:
Oakland, John S. Statistical process control. 6th ed. Oxford : Elsevier Butterworth-Heinemann, 2008. ISBN 978-0-08-055173-9.
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Recommended:
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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Recommended:
Montgomery, Douglas C. Introduction to statistical quality control. Hoboken : John Wiley & Sons, 2005. ISBN 0-471-65631-3.
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Recommended:
Tůmová, Olga. Metrologie a hodnocení procesů. 1. vyd. Praha : BEN - technická literatura, 2009. ISBN 978-80-7300-249-7.
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Recommended:
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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Recommended:
Statistická regulace procesů (SPC) : příručka. 2. vyd. Praha : Česká společnost pro jakost, 2006. ISBN 80-02-01810-9.
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On-line library catalogues
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Time requirements
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All forms of study
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Activities
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Time requirements for activity [h]
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Preparation for comprehensive test (10-40)
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20
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Preparation for an examination (30-60)
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35
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Contact hours
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52
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Total
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107
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Prerequisites
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Skills - students are expected to possess the following skills before the course commences to finish it successfully: |
apply basic knowledges from probability and statistics and basic knowledges from measurement |
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Learning outcomes
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Knowledge - knowledge resulting from the course: |
explain basic characteristics of random processes |
distinguish among tools for quality planning, quality control and quality improvement |
Skills - skills resulting from the course: |
use tools for quality planning, quality control and quality improvement |
Competences - competences resulting from the course: |
N/A |
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Assessment methods
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Knowledge - knowledge achieved by taking this course are verified by the following means: |
Test |
Oral exam |
Skills - skills achieved by taking this course are verified by the following means: |
Test |
Competences - competence achieved by taking this course are verified by the following means: |
Test |
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Teaching methods
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Knowledge - the following training methods are used to achieve the required knowledge: |
Lecture |
Practicum |
Skills - the following training methods are used to achieve the required skills: |
Practicum |
Competences - the following training methods are used to achieve the required competences: |
Practicum |
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