Quantitative Process and Quality Management (Six Sigma) (elective) (WP)*
Niveau
Master
Learning outcomes of the courses/module
The students:
- 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 for the course
not applicable
Course content
The following contents will be discussed in the lecture:
- Fundamentals of descriptive statistics
- Measurement system analysis
- Sample determination
- Statistical process control
- Process control charts
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
Assessment methods and criteria
Written exam or seminar thesis
Language
German
Number of ECTS credits awarded
4
Share of e-learning in %
15
Semester hours per week
2.0
Planned teaching and learning method
Lecture, individual work with software, group work, presentation and discussion of tasks
Semester/trimester in which the course/module is offered
3
Name of lecturer
Prof. (FH) Dr. Martin Adam
Academic year
2.year of studies
Key figure of the course/module
WPF.9
Type of course/module
integrated lecture
Type of course
Compulsory elective
Internship(s)
not applicable