639-0919/02 – Special Statistical Methods (SSM)
| Gurantor department | Department of Quality Management | Credits | 10 |
| Subject guarantor | prof. Ing. Darja Noskievičová, CSc. | Subject version guarantor | prof. Ing. Darja Noskievičová, CSc. |
| Study level | postgraduate | Requirement | Choice-compulsory |
| Year | | Semester | winter + summer |
| | Study language | Czech |
| Year of introduction | 2010/2011 | Year of cancellation | |
| Intended for the faculties | FMT, HGF | Intended for study types | Doctoral |
Subject aims expressed by acquired skills and competences
active handling the topics in annotation; elaborating the selected topic in writting form.
Teaching methods
Project work
Summary
Process variation and statistical methods. Complex analysis of statistical preconditions for data. Theoretical basis of statistical process control (SPC). Shewhart control charts. Preconditions for effective application of classical variable Shewhart control charts. Control charts for nonnormally distributed data. Control charts for autocorrelative data. Control charts for nonconstant mean and standard deviation. Multivariate control charts. Short run control charts. SPC for automated processes. EPC (Engineering process control) and SPC. Economic models and SPC.
Compulsory literature:
Recommended literature:
Way of continuous check of knowledge in the course of semester
E-learning
Other requirements
Elaboration of seminar work on selected topics (cca 15 - 20 pages) and its defence in the frame of the exam.
Prerequisities
Subject has no prerequisities.
Co-requisities
Subject has no co-requisities.
Subject syllabus:
1. Theoretical basis of SPC (SPC as testing statistical hypothesis, false signal, missingsignal, ARL). Basic models of the proces variability (see VDA 4.1).
2. Preconditions of classical Shewhart control charts+ methods for verification of these preconditions (testing statistical hypothesis, graphs).
3. Setting the sample size and control frequency, their influence on the performance of the control chart. Formation of the rational subgroup.
4. Control charts for nonnormal data.
5. Acceptance and modified control charts.
6. EWMA, CUSUM charts.
7. SPC for autocorrelated data.
8. Multivariable SPC.
9. Short Run contorl charts..
10. SPC a EPC (Engineering Process Control).
11. Theoretical basis of aceptance sampling (AS). (AS as testing statistical hypothesis, consumer and producer risks).
12. Construction of operatonal charactersitics for AS plans.
13. Systems of sampling plans.
Conditions for subject completion
Occurrence in study plans
Occurrence in special blocks
Assessment of instruction
Předmět neobsahuje žádné hodnocení.