Quantitative Process and Quality Management (Six Sigma) (elective)
Niveau
Master’s degree program
Learning outcomes of the courses/module
The participants:
• understand the fundamentals of descriptive and inferential statistics
• know how to examine measurement systems for repeatability and reproducibility
• know how to calculate sample sizes
• know how to monitor the stability of process outcomes using statistical control methods
• are able to assess the capability of processes to meet customer requirements
• are familiar with methods for identifying the causes of deviations in results using statistical testing procedures
• are familiar with the basic functionalities of the statistical software Minitab
• are able to use Minitab in the context of process analysis
• understand the fundamentals of descriptive and inferential statistics
• know how to examine measurement systems for repeatability and reproducibility
• know how to calculate sample sizes
• know how to monitor the stability of process outcomes using statistical control methods
• are able to assess the capability of processes to meet customer requirements
• are familiar with methods for identifying the causes of deviations in results using statistical testing procedures
• are familiar with the basic functionalities of the statistical software Minitab
• are able to use Minitab in the context of process analysis
Prerequisites for the course
No prerequisites
Course content
- 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
- Determination of error causes through hypothesis testing (t-test, chi-square test, ANOVA)
- Multiple regression analysis
- 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
- Determination of error causes through hypothesis testing (t-test, chi-square test, 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
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 using software, group work, presentation, and discussion of assignments
Semester/trimester in which the course/module is offered
3