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Skill Overview

Our complete Six Sigma Green Belt programme is delivered face to face and perfect for those wishing to lead resilient project teams empowered by data-driven decision-making at all levels within an organisation. Our programme deep dives into DMAIC methodology by exploring the wide range of Six Sigma problem-solving tools, including descriptive and inferential statistical methods, to achieve sustainable improvements. This programme also includes the use of relevant lean tools to support the identification of critical factors for successful change management. Presented by expert practitioners with significant experience delivering Six Sigma projects in complex environments. This training is practically focussed, time and again, we find our real-life approach is key to unlocking sustainable results and the behaviours required to transform business performance for continuous improvement.

This programme is perfect for those interested in adding more data-driven decision-making to their role. This includes specialist operators, Managers and Team Leaders looking to enhance their understanding of the Six Sigma methodology. Typically, delegates will have a key role within a Six Sigma project delivery team, primary interest in data, and experience within a manufacturing, business or operational environment.

Learning Objectives

During our course, delegates can expect to learn several key Six Sigma Green Belt competencies that support using data driven problem solving. However, there is also a strong focus on leadership development, including the problem-solving and change management skills required to build strong and resilient project teams capable of creating momentum around Six Sigma culture and the practices required to sustain improvement activity for long-term financial benefits.

Topics Covered:
Principles of Six Sigma
Understanding between Lean, Lean Six Sigma, and Six Sigma
Project charter
Stakeholder Analysis
CtQ and VoC
SIPOC
Process mapping
Project Mapping
Introduction to key statistical tools required for Six Sigma methodology
Introduction to Minitab
Measurement System Analysis (MSA)
Capability Analysis
Statistical Process Control (SPC)
Control charts
Cause and effect analysis
Failure Mode Effect Analysis (FMEA)
Using the data to change behaviours
Project progress reviews
T-Tests
Analysis of variance (ANOVA)
Proportion Tests and Chi-Squared Tests
Correlation
Simple Regression and Multiple Regression
Generating and Selecting Solutions
Standardisation
Overview of Integration with select Lean tools 
How to make Six Sigma sustainable

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