Six Sigma Green Belt Training Course
Node ID: 16038
Duration
56 hours
Requirements
None
Public Course Dates
There is no public course dates for this training.
This course would cost you around 3750GBP + VAT.
Please submit a public course date request for the exact price.
This course would cost you around 3750GBP + VAT.
Please submit a public course date request for the exact price.
Overview
Green Belts participate in and lead Lean and Six Sigma projects from within their regular job function. They can tackle projects as part of a cross functional team or projects scoped within their normal job.
Green Belts need to be able to apply the tools and techniques that support a DMAIC or a DFSS approach that is driven by data. Green Belts need to be able to appreciate how a fact based approach leads to the root causes of problems and ensures that correct decisions are made and lasting solutions are implemented.
Each session of Green Belt training is separated by 3 or 4 weeks when the Green Belts apply their training to their improvement projects. We recommend supporting the Green Belts on their projects in between training sessions and holding stage gate reviews along with leadership and Lean Six Sigma Champions to ensure DMAIC methodology is being rigorously applied.
2012 Sessions:
16th April - 20th April (4.5 days) - Start 12:45 on Monday will finish at 13:00 on Friday
14th May - 18th May (4.5 days) - Start 12:45 on Monday will finish at 13:00 on Friday
Course Outline
Block 1
Day 1
Introduction to Six Sigma
Project Chartering & VOC
Process Mapping
Stakeholder analysis
Day 2
Team Start Up
Prioritisation Matrix
Lean Thinking
Value Stream Mapping
Day 3
Data Collection
Minitab and Graphical Analysis
Descriptive Statistics
Day 4
Measurement System Evaluation
Process Capability Cp, CpK
Six Sigma Metrics
Day 5
5 Why
FMEA
Block 2
Day 1
Review of Block 1
Multivari
Inferential Statistics
Intro to Hypothesis Testing
Day 2
2 sample t-tests
F tests
Hypothesis Testing – Chi Sq
Day 3
Hypothesis Testing - Anova
Day 4
Correlation and Regression
Multiple Regression
Introduction to Design Of Experiments
Day 5
Mistake Proofing
Control Plans
Control Charts
