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Quantitative Process- & Quality Management (WP)*

Niveau

Master

Learning outcomes of the courses/module

The participants:
• know the basics of descriptive and conclusive statistics
• know 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

None

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

Exam

Language

English

Number of ECTS credits awarded

4

Semester hours per week

Planned teaching and learning method

Lecture, group work, presentation and discussion of tasks

Semester/trimester in which the course/module is offered

3

Type of course/module

Type of course