Six Sigma method summer 2024

Contents

With the help of the Six Sigma method, companies attempt to improve the quality of process outputs by identifying and removing the causes of errors and minimizing process variation. Statistical and analytical methods are used to improve projects. This distinguishes Six Sigma from other process improvement methods.

This includes the use of the so-called DMAIC method, which essentially consists of five phases: project definition, measurementof the most important process variables, analysisof the associated data,improvementbased on statistical design of experiments andcontrolof the future process.

While many events focus on individual project phases, this course takes a holistic view of the project.

Time and place

The course takes place in an inverted classroom format. A new lecture video is uploaded every week. The lecture material is deepened with the help of weekly exercise sheets, the solution of which is presented in a weekly face-to-face exercise. In addition to the lecture video, a weekly consultation hour is offered in which questions about the lecture content can be asked. The course is taught in German.

Lecture: Will be made available weekly as a video via Moodle.

Question time: Thu: 14:15 - 14:45, Chemistry - HS3 (First question time: 18.4.)

Exercise: Thu: 14:45 - 15.45, Chemistry - HS3 (First exercise: 25.4.)

The course starts on 11.4.2024 at 14:15 in HS3 in the chemistry building with a short introductory event in which the exact course schedule will be explained.

Organization

A Moodle room exists for the event, in which the videos and materials for the event are uploaded. The password is SixSigmaPS****, where **** is the current year. You can find the Moodle room here.

Green Belt

Building on the lecture, Master's students can acquire so-called Green Belts as an additional qualification in an additional course in the winter semester. To this end, they independently carry out a Six Sigma project in a company.

The projects are supervised by our cooperation partner Dr. Dietmar Stemann (Six Sigma Master Black Belt and Managing Director of mts Consulting Partner). Prerequisites for participation are very good examination results.

Further information on the Green Belt event can be found here.

Study programs

The event is aimed at mechanical engineering (Master), industrial engineering (Master) and chemical engineering (Master).

Recently, the course can be recognized together with another suitable 2+1 lecture as "Quantitative Methods" for students in the Bachelor of Statistics.