639-0805/02 – Special Statistical Methods (SSM)
| Gurantor department | Department of Quality Management | Credits | 6 |
| Subject guarantor | prof. Ing. Darja Noskievičová, CSc. | Subject version guarantor | prof. Ing. Darja Noskievičová, CSc. |
| Study level | undergraduate or graduate | Requirement | Compulsory |
| Year | 1 | Semester | summer |
| | Study language | Czech |
| Year of introduction | 2004/2005 | Year of cancellation | 2018/2019 |
| Intended for the faculties | FMT | Intended for study types | Follow-up Master |
Subject aims expressed by acquired skills and competences
Students will:
- be able to select suitable graphical methods and statistical tests for verification of data presumptions
- be able to realize complex statistical data analysis
- be able to select suitable method of random sampling
- be able to select and apply suitable system of sampling plans
- be able to compute a analyze supplier and customer risks
- be able to aplly different methods of acceptance sampling for variables
- be able to compute false and missing signal and ARL for selected control charts
- be able to construct and analyse operational characteristics of selected control charts
- be able to select suitable methods of SPC when presumptions for traditional Shewhart control charts are not met
- be able to apply nontraditional SPC methods (control charts for nonnormaly distributed data, for autocorrelated data, for multivariable characteristics, for short run processes, for little changes of process parameters).
Teaching methods
Lectures
Tutorials
Project work
Summary
This subject aims to make deeper students´ theoretical basis and practical
experience with statistical methods for quality management. A big stress is
put on the verification of data pre-conditions, complex solution of problems,
special therminology in foreign language. Non-traditional methods, especially
in the field of statistical process control, are taken into account.
Compulsory literature:
Recommended literature:
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
www 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:
Complex statistical data analysis (verification of normality, homogenity, data iindependence)
3. Methods of random sampling.
4. Statistical process control (SPC) as a hypothesis testing, risk of false signal, risk of missing signal,
ARL, operating characteristics curve of control chart.
5. SPC phases.
6. Preconditions for the correct application of Shewhart control charts. Nontraditional SPC methods (survey).
7. Short Run control charts. Control charts for nonnormally distributed data.
8. Multivariate SPC.
9. SPC for autocorrelated data.
10. Statistical basic of acceptance sampling. Efficiency and effectivity of sampling plans.
11. Computation of producer and consumer risks. Construction of OC curve of sampling plans.
Computation of sampling plan parameters.
12. Variable and attribute acceptance sampling plans.
13. Systems of sampling plans.
14. Prezentation of seminary works.
Conditions for subject completion
Occurrence in study plans
Occurrence in special blocks
Assessment of instruction