Six Sigma Yellow Belt

Achieving Statistics Quality Goals

Based on the Six Sigma philosophy, you will work on early improvement projects, solidify basic statistics knowledge and learn how to apply problem-solving methods with a case study.

Course Contents

▶ Tools and methods to implement the DMAIC cycle
▶ Process visualization
▶ Practical planning games and case studies
▶ Group work & interactive learning space

Group of Participants
Engineers, computer scientists or experts from the areas of mechanical engineering, electrical engineering, manufacturing, production or civil engineering

Motivation
The widespread quality management concept Six Sigma offers a framework for action for the systematic planning and effective execution of sustainable improvement projects using structured project management approaches. It assists organizations in pursuing both a disciplined and data-driven appraoch as well as a method for error reduction. The Six Sigma Yellow Belt is the first step in the Six Sigma training: Here, you'll become an expert for process optimization and waste reduction based on statistical and analytical methods.

Methodology
Within two days of attendance, the basic ideas and methods of the Six Sigma philosophy are conveyed. In an end-to-end practical example, problems are solved using a systematic approach.

Further information regarding the seminar "Six Sigma Yellow Belt"

On the first day of the course the following topics will be taught:

• Introduction Six Sigma, DMAIC cyclye, Define Phase, Basics of statistics, Measure Phase
• Voice of the Customer (VoC), Kano model and decision trees, SIPOC and stakeholder analysis
• Project charter and conclusion Define Phase

On the second day of the course the following topics will be taught:

• Data collection and data quality, process stability and capability
• Conclusion measure, improve, analyze and control phase
• Techniques for problem structuring (Ishikawa diagram, 5-Times-Why, cause-effect matrix)