639-0408/02 – Basic Statistical Methods for Quality Management (BSM)
| Gurantor department | Department of Quality Management | Credits | 4 |
| Subject guarantor | prof. Ing. Darja Noskievičová, CSc. | Subject version guarantor | prof. Ing. Darja Noskievičová, CSc. |
| Study level | undergraduate or graduate | | |
| | Study language | Czech |
| Year of introduction | 2012/2013 | Year of cancellation | 2018/2019 |
| Intended for the faculties | FMT | Intended for study types | Bachelor |
Subject aims expressed by acquired skills and competences
Students will:
- 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
Teaching methods
Lectures
Tutorials
Summary
Students obtain the 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).
Compulsory literature:
Recommended literature:
1. MITRA,A.: Fundamentals of Quality Control and Improvement. New York: Macmillan Publishing Company, 1993, 651 s. ISBN O-O2-381791-7.
Way of continuous check of knowledge in the course of semester
E-learning
e-learningové opory na stránkách FMMI
Other requirements
Pro absolvování tohoto předmětu nejsou žádné další požadavky.
There are no other requirements for passing this course.
Prerequisities
Co-requisities
Subject has no co-requisities.
Subject syllabus:
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.
Conditions for subject completion
Conditions for completion are defined only for particular subject version and form of study
Occurrence in study plans
Occurrence in special blocks
Assessment of instruction