Six Sigma - Green Belt
Why attend this workshop?
The Green Belt workshop presents keyconcepts and methods on which the philosophy 6 sigma is based. An integral part of the workshop is projects conducted by each of the participants, which allow using the learned knowledge in practice on an ongoing basis. The workshop consists of both theoretical lectures and many practical exercises. Furthermore, each concept is illustrated by numerous real-life examples.
Aim and expected results of workshops
The aim of the workshop is to provide knowledge of how to collect and analyze data about processes, in order to make appropriate decisions on the basis of conclusions made.
After completing the workshop, participants will be able to:
- plan collecting data (plans of sampling),
- analyze the collected data in a way that is practical, graphic and in quantity,
- use control cards both in a passive way (monitoring
the process) and active way (solving problems in a process),
- examine the measurement system,
- plan and conduct an experiment,
- analyze an experiment: practically, graphically and in quantity and on that
basis make practical conclusions,
- conduct essential analyses using the program Minitab.
Target group
The workshops are particularly targeted at:
- Process Engineers, Quality Engineers, Technologists and Leaders.
- Managers (especially middle management), who want to find out more
about the methodology 6 sigma
Workshop program
Session A:
- Examples of projects and introduction to the subject of 6 sigma.
- Critical Thinking and Thought Map.
- Introduction to variation and Quincunx: practical exercise, showing
why it is important to distinguish between natural and special
variation.
- Process Mapping and Table of Variation Sources.
- Sampling: Sampling Trees, Box Graphs, Average and Range Charts.
- Sampling: practical exercise – how often to sample? What is the optimal size of the sample?
- Measurement System Assessment.
- Discussing subjects of projects chosen by participants.
Session B:
- Individual Value and Shifting Range Charts.
- Studying Components of Variations: collecting data and analysis (practical, graphic and in quantity).
- Sampling from the production process.
- Introduction to experimenting: comparing various methods of experimenting.
- Full-factor experiment: planning and analysis.
- Fractional experiment: planning and analysis.
- Analysis of data using the program Minitab.
- Review of projects chosen by participants, next steps.
Duration
6 days (2 three-day sessions)
