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Special Statistical Methods

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.

Literature

[1] Montgomery, D.C.: Introduction to Statistical Quality Control, 5th
Edition. Milwaukee: ASQ, 2004. ISBN 0471656313 

Advised literature

[1] Pyzdek, T.: Quality Engineering Handbook, 2nd Edition. Milwaukee:
ASQ, 2003. ISBN 0824746147 
[2] Pyzdek, T.: The Six Sigma Handbook, Second Edition.
Milwaukee:ASQ, 2003. ISBN 0071410155 
[3] Bothe, D.R.: Measuring Process Capability: Techniques and
Calculations for Quality and Manufacturing Engineers. Milwaukee: ASQ, 2001. ISBN 0-07-006652-3


Language of instruction čeština, čeština, čeština, čeština, angličtina, angličtina
Code 639-0919
Abbreviation SSM
Course title Special Statistical Methods
Coordinating department Department of Quality Management
Course coordinator prof. Ing. Darja Noskievičová, CSc.