Terminated in academic year 2020/2021

Selected Methods of Industrial Statistics

Type of study	Doctoral
Language of instruction	English
Code	639-0934/02
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. .
MITRA, A. Fundamentals of quality control and improvement. Hoboken: Wiley, 2016. .

Advised literature

RYAN, T. P. Statistical methods for quality improvement. Hoboken: J. Wiley  Sons, 2011. .
XIE M. , et al. Statistical methods and control charts for high-quality processes. Boston: Kluwer Academic Publishers, 2002. .

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