Quantitative Process & Quality Management (Six Sigma) (elective)
level of course unit
Learning outcomes of course unit
- know the basics of descriptive and conclusive statistics.
- know how to examine measuring arrangements for repeatability and reproducibility.
- know how to calculate sample sizes.
- know how to monitor the stability of process results using statistical monitoring methods.
- know how to evaluate the ability of processes to meet customer requirements.
- know methods to search for the deviation causes in results using test procedures.
- know basic functionalities of the "Minitab" statistics software.
- know how to use "Minitab" in the context of process analysis.
prerequisites and co-requisites
The following content is discussed in the course:
- Basics of descriptive statistics
- Measurement system analysis
- Sample determination
- Statistical process monitoring
- Process monitoring charts
- Process capability analysis
- Components of Variants Analysis (COV)
- Repetition Basics of inferential statistics
- Failure cause determination via hypothesis testing (T-test, Chi-Sq, ANOVA)
- Multiple regression analysis
recommended or required reading
Töpferer, A.; Six Sigma Konzeption und Erfolgsbeispiele für praktizierende Null-Fehler-Qualität; Berlin/Heidelberg/New York 2007; 4th edition
George M.; Rowlands D.; Price M.; Maxey J.; The Lean Six Sigma Pocket Toolbook; New York; 2005
Lunau St. (publisher); Six Sigma + Lean Toolset; 5th edition; Heidelberg; 2014
assessment methods and criteria
Written exam or seminar thesis
language of instruction
number of ECTS credits allocated
eLearning quota in percent
planned learning activities and teaching methods
Lecture, individual work with software, group work, presentation and discussion of tasks
semester/trimester when the course unit is delivered
name of lecturer(s)
Prof. (FH) Dr. Martin Adam
year of study
2.year of studies
recommended optional program components
course unit code
type of course unit
mode of delivery