Quantitative Process and Quality Management (Six Sigma) (E) (WP)*
Niveau
Master's program
Learning outcomes of the courses/module
The participants:
• know the fundamentals of descriptive and inferential statistics
• know how to examine measurement setups for repeatability and reproducibility
• can calculate sample sizes
• can monitor the stability of process results using statistical control methods
• can assess the capability of processes to meet customer requirements
• know methods for searching for the causes of result deviations using test procedures
• know the basic functionalities of the statistics software „Minitab“
• can use "Minitab" in the context of process analysis
• know the fundamentals of descriptive and inferential statistics
• know how to examine measurement setups for repeatability and reproducibility
• can calculate sample sizes
• can monitor the stability of process results using statistical control methods
• can assess the capability of processes to meet customer requirements
• know methods for searching for the causes of result deviations using test procedures
• know the basic functionalities of the statistics software „Minitab“
• can use "Minitab" in the context of process analysis
Prerequisites for the course
no prerequisites
Course content
The following topics are discussed in the course:
- Fundamentals of descriptive statistics
- Measurement system analysis
- Sample size determination
- Statistical process control
- Process control charts
- Process capability analysis
- Components of Variance analysis (COV)
- Review of the fundamentals of inferential statistics
- Determining root causes of errors through hypothesis testing (t-test, chi-square, ANOVA)
- Multiple regression analysis
- Fundamentals of descriptive statistics
- Measurement system analysis
- Sample size determination
- Statistical process control
- Process control charts
- Process capability analysis
- Components of Variance analysis (COV)
- Review of the fundamentals of inferential statistics
- Determining root causes of errors through hypothesis testing (t-test, chi-square, ANOVA)
- Multiple regression analysis
Recommended specialist literature
Töpferer, A.; Six Sigma Konzeption und Erfolgsbeispiele für praktizierende Null-Fehler-Qualität; Berlin/Heidelberg/New York 2007; 4. Auflage
George M.; Rowlands D.; Price M.; Maxey J.; The Lean Six Sigma Pocket Toolbook; New York; 2005
Lunau St. (Hrsg.); Six Sigma + Lean Toolset; 5. Auflage; Heidelberg; 2014
George M.; Rowlands D.; Price M.; Maxey J.; The Lean Six Sigma Pocket Toolbook; New York; 2005
Lunau St. (Hrsg.); Six Sigma + Lean Toolset; 5. Auflage; Heidelberg; 2014
Assessment methods and criteria
Written exam
Seminar paper
Seminar paper
Language
English
Number of ECTS credits awarded
4
Semester hours per week
Planned teaching and learning method
Lecture, individual work with software, group work, presentation and discussion of assignments
Semester/trimester in which the course/module is offered
3