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Selected Methods of Industrial Statistics

Type of study Doctoral
Language of instruction English
Code 639-0934/04
Abbreviation MPS
Course title Selected Methods of Industrial Statistics
Credits 10
Coordinating department Department of Quality Management
Course coordinator prof. Ing. Darja Noskievičová, CSc.

Subject syllabus

1. Process variability basis. Basic models of the process variability. Statistical basis of SPC.
2 .Selected practical aspects of SPC.
3. Verification of assumptions about data.
4. Selection of the suitable control chart in relation to the results of the data assumptions verification.
5. Control charts for non-normally distributed data.
6. Control charts for processes with non-constant mean.
7. Control charts for detection of medium and small process changes.
8. Control charts for auto-correlated data.
9. Multivariate control charts.
10. Short run control charts.
11. Control charts for high yield processes.
12. SPC and EPC (Engineering Process Control).
13. Adaptive and nonparametric approaches in SPC.
14. Process capability assessment (conventional and nonconventional approaches).

Literature

http://katedry.fmmi.vsb.cz/Opory_FMMI_ENG/QM/Special%20Statistical%20Methods.pdf
MONTGOMERY, D. C. Statistical quality control: A modern introduction. Hoboken: J. Wiley, 2013. ISBN 978-1118146811 .
MITRA, A. Fundamentals of quality control and improvement. Hoboken: Wiley, 2016. ISBN: 978-1-118-70514-8 .

Advised literature

RYAN, T. P. Statistical methods for quality improvement. Hoboken: J. Wiley  Sons, 2011. ISBN 978-1-118-05811-4 .
XIE M. , et al. Statistical methods and control charts for high-quality processes. Boston: Kluwer Academic Publishers, 2002. ISBN 1-4020-7074-8 .


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