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Quantitative Process & quality management (Six Sigma) (elective)*

Niveau

Master`s course

Learning outcomes of the courses/module

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 for the course

not applicable

Course content

* 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 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

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) DI Dr. Martin Adam

Academic year

2.year of studies

Key figure of the course/module

WPF.1

Type of course/module

integrated lecture

Type of course

Compulsory

Internship(s)

not applicable