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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


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


number of ECTS credits allocated


eLearning quota in percent


course-hours-per-week (chw)


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) DI Dr. Martin Adam

course unit code


type of course unit

integrated lecture

mode of delivery