Quantitative Process and Quality Management (Six Sigma) (elective)
level of course unit
second cycle, Master
Learning outcomes of course unit
The graduate, the student:
* Knows the basics of descriptive and conclusive statistics
* Knows how to examine measurement setups for repeatability and reproducibility
* Can calculate sample sizes
* Can control the stability of process results using statistical control methods
* Can evaluate the ability of processes to meet customer requirements
* Knows methods to search for the causes of result deviations using test procedures
* Knows the basic functions of the Minitab statistics software
* Can use Minitab in process analysis
prerequisites and co-requisites
none
course contents
* Repetition Basics of Descriptive Statistics
* Measurement System Analysis
* Sampling
* Statistical Process Control
* Process Control Charts
* Process Capability Analysis
* Components of Variants Analysis (COV)
* Repetition Basics of Concluding 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; 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
English version available soon
language of instruction
German
number of ECTS credits allocated
4
eLearning quota in percent
15
course-hours-per-week (chw)
2
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
3
name of lecturer(s)
Prof. (FH) DI Dr. Martin Adam
course unit code
WPF.1
type of course unit
integrated lecture
mode of delivery
Compulsory