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Selected Methods of Industrial Statistics

Type of study Doctoral
Language of instruction Czech
Code 639-0934/01
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

• Process variability basis. Basic models of the process variability.
• Statistical basis of SPC.
• Selected practical aspects of SPC.
• Verification of assumptions about data.
• Selection of the suitable control chart in relation to the results of the data assumptions verification.
• Control charts for non-normally distributed data.
• Control charts for processes with non-constant mean.
• Control charts for detection of medium and small process changes.
• Control charts for auto-correlated data.
• Multivariate control charts.
• Short run control charts.
• Control charts for high yield processes.
• SPC and EPC (Engineering Process Control).
• Adaptive and nonparametric approaches in SPC.
• Process capability assessment (conventional and nonconventional approaches).
• Summary and selection of the sampling plans systems.
• Assessment of the sampling plan efficiency.

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 .