ERP Systems & Business Process Management PT
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Quantitative Process & quality management (Six Sigma) (elective)*

level of course unit

Master`s course

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

not applicable

course contents

* 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

Written exam

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

year of study

2.year of studies

recommended optional program components

not applicable

course unit code

WPF.1

type of course unit

integrated lecture

mode of delivery

Compulsory

work placement(s)

not applicable