Statistical techniques as SPC (Statistical Process Control), DoE (Design of Experiments) and other non?statistical tools are frequently used in production practice in order to improve processes and products. However, it is crucial to take into account that a pure application of particular methods or tools is not equal to the accomplishment of required results.

Green Belt training presents general concepts and methods which form the fundamentals of Six Sigma. Projects conducted by each participant are an integral part of this training, and so in this way the application of freshly gathered knowledge is put in practice. Projects have to be defined prior to training.

Green Belt training consists of two three-five day sessions, in between which there are three-four one-week breaks which are used for project work. Training consists of theoretical parts as well as several practical exercises, moreover every concepts is supported by real ?live? cases. Training group size is up to 16 persons. All participants are split into four workshop groups and finally training is delivered by two trainers who are certified Six Sigma Master Black Belts.

Dedicated Training znak zapytaniaQUESTIONS? CONTACT US:
MOBILE:+48 783 191 353

Upcoming Six Sigma Trainings

OpEx Six Sigma Green Belt
Class 02/2020
Session I: 21-23 IX 2020
Session II: 19-21 X 2020
Wrocław 6 000 pln

To take part in an open training, you should complete the application form and send it to us:
For those, who will send their application 30 days prior to the workshop, we offer a discount of 10%!

Training Price Includes

  • Help in defining the Green Belt project
  • Training conducted by two experienced trainers
  • Ability to consult with a trainer during training, the break between sessions and after the workshop
  • The book New Economics by W. Edwards Deming ? Polish translation
  • OpEx Six Sigma Green Belt certification exam
  • Additional training materials based on the individual needs of the trainee
  • A set of training materials
  • Username and password for the “Client Zone” allowing usage of many additional materials
  • Coffee breaks and lunch

Expected Training Results

After this training participants will be skilled in:

  • Planning data collection in order to answer individual questions in respect to our processes (Sampling Plans)
  • Analysis of collected data in a Practical, Graphical and Quantitative way
  • Use of Control Charts in a passive way (process monitoring) as well as active (problem solving in processes)
  • Evaluating Measurement Systems Experimentation planning (factor and levels selection as well as selection of experimentation strategy)
  • Conducting experiment
  • Analysing experiment (Practical, Graphical and Quantitative) and
  • Drawing conclusions based on experimental results
  • Process Engineers
  • Quality Engineers
  • Technologists
  • Leaders
  • Managers

Training Plan

SESSION I (3 days)

Project Examples case study
Introduction to Six Sigma lecture
Critical Thinking, Thought Map, examples of Thought Maps lecture + case study
Introduction to Variation (basic statistics) lecture
Quincunx: practical exercise which shows why the distinction between common and special cause variation is so important practical exercise
Process Mapping, Examples of Process Maps, Rate of Change Table lecture + case study + exercise
Introduction to Sampling: Sampling Trees, Box Plots, Range and Mean Charts lecture + practical exercise
Approval of the first piece: helicopter practical exercise
Measurement System Evaluation lecture + practical exercise
Measurement System Evaluation for alternative data lecture + practical exercise
Project review  

SESSION II (3 days)

Session A refresh game
Individual Moving Range Control Charts: Introduction and practical usage lecture + case study
Components of Variation Study: Projects Examples, Introduction lecture + case study
Sampling based on Helicopter Manufacturing practical exercise
Components of Variation study: Sampling Trees, Practical, Graphical & Quantitative Analysis lecture + practical exercise
Introduction to Experimentation lecture
Project Example ? planned experimentation utilization case study
Experimentation methods comparison lecture
Full Factorial Design lecture + practical exercise
Fractional Factorial Design lecture + practical exercise
Helicopter experimentation, sequential approach lecture + practical exercise
Project review