Lean Six Sigma Green Belt -training (in English)
The purpose of the Lean Six Sigma Green Belt -course is to help understand the Lean Six Sigma -methodology and its DMAIC project structure in practice. Lean Six Sigma Green Belt training gives the ability to carry out relatively small, well focused, in-department projects using the Lean Six Sigma implementation strategy. After the training, Green Belt may work as a team member or temporarily lead a project team and knows statistical problem solving skills applied in Six Sigma DMAIC projects.
Lean Six Sigma trainings by Quality Knowhow Karjalainen follow the proper content and the well-tried interactive methodology. Training combines traditional classroom training, interactive use of software with Minitab and projects in practice. This requires that participants have access to a personal computer with Minitab statistical software (version 19 or newer) and their own personal improvement project. Projects act as a framework for learning helping to apply theory to practice and enhance learning.
Training is organized in course periods (2+2+2+2+1 days) that follow the Lean Six Sigma DMAIC project structure. Between the training periods, participants will work on their own project in their organization following the DMAIC project structure. Participants will constantly apply theory to real life improvement project and will gain an excellent working knowledge of effective process improvement method and the used tools.
The training complies with ASQ and ISO 13053 requirements and follows the well-established QKK Lean Six Sigma Green Belt course format in English. Course fee includes course materials in paper or e-book format, daily breakfast buffet, lunch and coffee and project help and guidance by the instructor.
Periods (parts) of the Green Belt training course are presented below. More detailed daily content is presented.
| Part I | Objective: familiarize participants with the Lean Six Sigma DMAIC methodology and its use. Definition of projects. | |
| Day 1 | 9.00-17.00 | Tools and methods |
| Introduction to Lean Six Sigma | Definition of quality, Lean and Six Sigma DMAIC-structure, statistical thinking, statistical process control (SPC), process improvement. | |
| DMAIC-process | ||
| Lunch | ||
| Define-step and tools | ||
| Project definition | ||
| Day 2 | 9.00-17.00 | Tools and methods |
| Introduction to Minitab | Basic use of Minitab statistical software, data structure, generating statistics and graphs from data (histogram, boxplot etc), quality tools: pareto, fishbone and run chart. | |
| Importing data and basic use | ||
| Lunch | ||
| Basic statistics | ||
| Graphical analysis | ||
| Project: | Choosing and defining of a project. Defining the business case and process problem and project objectives | |
| Part II | Objective: familiarize participants with the steps of analysing the current state of the process, generation of factors (x’s), and evaluation of data quality. | |
| Day 3 | 9.00-17.00 | Tools and methods |
| Project review | Process mapping, using VSM, generating variables (x’s) and brainstorming tools, fishbone-diagram, 5xwhy, xy-matrix, CTQ (Y) | |
| Generating x’s | ||
| Lunch | ||
| Process mapping tools | ||
| Day 4 | 9.00-17.00 | Tools and methods |
| Understanding risks | Process risk evaluation (FMEA), data collection plan and sampling, defining process capability (Cp, Cpk) for Y, measurement system analysis (variable and attribute studies), Type 1 study, Gage R&R study, Kappa-studies. | |
| Data collection | ||
| Lunch | ||
| Data quality | ||
| Defining variation error | ||
| Project: | Mapping the current state of the process, analysis of data quality and measurement of process capability for Y, generating and eliminating variables (x’s). | |
| Part III | Objective: familiarize patizipants with statistical methods and inference, and their role in process improvement. | |
| Day 5 | 9.00-17.00 | Tools and methods |
| Project review | Purpose of analysis, basics of data analysis, exploratory data analysis (EDA) and confirmatory data analysis (CDA), root cause identification, graphical analysis with Minitab, introduction to hypothesis testing, central limit theorem | |
| EDA – exploratory data analysis | ||
| Lunch | ||
| EDA tools in Minitab | ||
| Basics of statistical decision making | ||
| Day 6 | 9.00-17.00 | Tools and methods |
| CDA and hypothesis testing | Introduction to statistical decision making and inference, confirmatory data analysis, confidence intervals, hypothesis tests (t-tests), sample size and power, ANOVA, GLM | |
| Power, alfa and beta risks | ||
| Lunch | ||
| Advanced methods | ||
| ANOVA / Regression | ||
| Project: | Elimination of variables / recognizing improvement actions | |
| Part IV | Objective: familiarize participants with design of experiments (DOE) and tools of the control phase. | |
| Day 7 | 9.00-17.00 | Tools and methods |
| Project review | Introduction to design of experiments, prerequisites for regression analysis, experimental roadmap, screening designs (Taguchi), factorial experiments, fractional factorial experiments | |
| Introduction to DOE | ||
| Lunch | ||
| Experiment roadmap | ||
| Factorial experiments | ||
| Day 8 | 9.00-17.00 | Tools and methods |
| Modelling experiments | DOE exercises with catapult, tools of the control phase, control plan, mistake proofing (poka-yoke). | |
| Analysis of experimental data | ||
| Lunch | ||
| Control plan and control phase | ||
| Reporting and project closure | ||
| Project: | Testing improvement ideas and implementing best practices. | |
| Part V | Objective: review of completed projects and lessons learned. | |
| Day 9 | 9.00-17.00 | |
| Presentations of completed projects, 20 to 30 minutes per project. | Run-through of course content and key points. Handing out course and Green Belt certificates. | |
Koulutuksen vaatimukset
Opiskelijoilla tulisi olla käytössään kannettava tietokone ja Minitab-ohjelmisto koulutuksen lähijaksoilla.
Kouluttaja
Matti Pesonen
Koulutuspaikka
Sibeliustalo
Ankkurikatu 7, LAHTI
Yrityskohtaisena toteutuksena
Koulutusta toteutetaan myös yrityskohtaisena toteutuksena. Pyydä tarjous.
More information
Between the theoretical periods of the training, participants apply what they have learned to a real improvement project, thus acquiring excellent know–how on how to effectively improve processes.
Participants should have access to a laptop and Minitab software during the training periods.
Participants will receive certificate of attendance. Participants completing their Green Belt project will also receive Quality Knowhow Karjalainen Lean Six Sigma Green Belt -certificate.
The highly recommended QKK Lean Six Sigma Green Belt training is now available in English for those that feel that attending in Finnish does not work.
The training will be held in a unique setting in Lahti Sibelius Hall, on the shores of Lake Vesijärvi.
Food & Events takes care of the enjoyable training day catering, offering something for everyone.
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