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Lean Six Sigma Green Belt


Cost: Contact us for quote.   Duration: 5 days


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Overview

Comprehensive training and exam preparation to achieve Green Belt Certification with the International Association of Six Sigma Certification (IASSC) – the most highly regarded independent global Green Belt Certification.

This course is very comprehensive and doesn't require any pre-requisite training. You will learn the foundation skills and develop up to the Green Belt level as part of this intensive 5-day course. However, this training does move quickly and covers a lot of in-depth information in great detail.

For participants focused on Certification preparation, it is important to know that the IASSC Global Certification is exam based. Which means you can sit the exam and become certified as soon as you have successfully passed the exam which is based on global benchmarks. Our Lean Six Sigma Green Belt Training courses are run by Lean Six Sigma experts.

Foreword

The Lean Six Sigma Green Belt Certification is a highly respected credential - it means you have demonstrated a level of mastery of specific methodologies and techniques required to help drive Continuous Improvement projects that have measurable, commercially focused outcomes.

This certified training course will provide you with the theory and then the opportunity to practice the techniques to help you reach the standard of Lean Six Sigma - Green Belt.

You will be supported by Australia's leading trainers and become part of a global network of Six Sigma and Continuous Improvement specialists through our Six Sigma training and the IASSC.

Learning Objectives

During this course, you will develop:

  • Understanding of the concepts, implementation & objectives of Six Sigma
  • Ability to use a structured approach to process improvement
  • Ability to use DMAIC (Define, Measure, Analyse, Implement and Control) methodology
  • Skill to predict, prevent and control defects in a process
  • Understanding of the elements of waste
  • Skills to achieve sustainable quality improvement through process improvement
  • Understanding of the tools of process discovery
  • Understanding of variation in processes
  • Skills to reduce variation in processes and achieve predicted outcomes
  • Ability to identify, measure and analyse process potential
  • Usage of inferential statistics
  • Usage of hypothesis testing
  • Understanding when to use which Six Sigma methodology
  • Ability to use Capability Analysis to control processes
  • Knowledge of the interdependence of Lean tools
  • Skills to prevent, identify and control defects
  • Understanding and use of statistical process control
  • Skills to train, document, monitor, respond, and align systems

Skills to provide sustainable and cost-effective improvement in processes

Where:

This training course is available throughout Australia, including Brisbane, Sydney, Melbourne, Adelaide, Canberra, and Perth.

Duration

Scheduled classroom training (5 Days)

Course Outline

LSS Green Belt Define Phase

Phase Description:

The Define Phase of the DMAIC methodology is constructed to introduce the fundamentals of Lean Six Sigma. There are five modules in this phase:

Understanding Six Sigma

  • Describe the objectives of Six Sigma
  • Describe the relationship between variation and sigma
  • Recognize some Six Sigma concepts
  • Recognize the Six Sigma implementation model
  • Describe your role and responsibilities in Six Sigma

Six Sigma Fundamentals

  • Describe what is meant by “Process Focus”
  • Describe the importance of VOC, VOB, and VOE, and CTQ’s
  • Explain COPQ
  • Generate a Process Map
  • Describe the Basic Six Sigma metrics
  • Explain the difference between FTY and RTY
  • Explain the difference between DPU and DPMO

Selecting Projects

  • Utilize a structured approach to select projects
  • Refine and Define the problem into a Project Charter
  • Make an initial estimate of your project’s benefits

Elements of Waste

  • Have a clear understanding of the specific deliverables
  • Have started to develop a Project Plan to meet the deliverables
  • Have identified ways to deal with potential roadblocks
  • Be ready to apply the Six Sigma method through your project

Wrap Up & Action Items

LSS Green Belt Measure Phase

Phase Description:

The Measure Phase of the DMAIC methodology is constructed to introduce important Lean Six Sigma tools for characterizing your business issues. There are six modules in this phase:

Welcome to Measure

Process Discovery

  • Create a high level Process Map
  • Create a Fishbone Diagram
  • Create an X-Y Diagram
  • Describe the elements of a FMEA
  • Explain the importance of a FMEA
  • Describe why each tool is important

Six Sigma Statistics

  • Explain the various statistics used to express location and spread of data
  • Describe the characteristics of a Normal Distribution
  • Test for Normality
  • Describe the difference between Special Cause and Common Cause Variation
  • Generate a variety of graphs for data

Measurement System Analysis

  • Perform the step by step methodology in Variable and Attribute MSA’s
  • Identify the various components of variation so corrections can be made and the gage error reduced
  • Recognize the differences between Repeatability, Reproducibility, Accuracy and Calibration

Process Capability

  • Estimate Capability for Continuous Data
  • Describe the impact of Non-normal Data on the analysis presented in this module for Continuous Capability
  • Estimate Capability for Attribute Data

Wrap Up & Action Items

LSS Green Belt Analyze Phase

Phase Description:

The Analyze Phase of the DMAIC methodology is constructed to introduce important Lean Six Sigma tools for isolating critical factors. There are nine modules in this phase:

Welcome to Analyze

  • Perform a Multi-Vari Analysis
  • Interpret and a Multi-Vari Graph
  • Identify when a Multi-Vari Analysis is applicable
  • Interpret what Skewed data looks like
  • Explain how data distributions become Non-normal when they are really Normal

Inferential Statistics

  • Explain the meaning of the term “Inferential Statistics”.
  • Describe the basic tenets of the Central Limit Theorem.
  • Describe the impact of sample size on your estimates of population parameters.
  • Explain Standard Error

Intro to Hypothesis Testing

  • Articulate the purpose of Hypothesis Testing
  • Explain the concepts of the Central Tendency
  • Be familiar with the types of Hypothesis Tests

Hypothesis Testing Normal Data Part 1

  • Determine appropriate sample sizes for testing Means
  • Conduct various Hypothesis Tests for Means
  • Properly Analyze Results

Hypothesis Testing Normal Data Part 2

  • Be able to conduct Hypothesis Testing of Variances
  • Understand how to Analyze Hypothesis Testing Results

Hypothesis Testing Non-Normal Data Part 1

  • Conduct Hypothesis Testing for equal variance
  • Conduct Hypothesis Testing for Medians
  • Analyze and interpret the results

Hypothesis Testing Non-Normal Data Part 2

  • Calculate and explain test for proportions
  • Calculate and explain contingency tests

Wrap Up & Action Items

LSS Green Belt Improve Phase

Phase Description:

The Improve Phase of the DMAIC methodology is constructed to introduce important Lean Six Sigma tools for properly controlling solutions. There are five modules in this phase:

Welcome to Improve

Process Modelling Regression

  • Perform the steps in a Correlation and a Regression Analysis
  • Explain when Correlation and Regression is appropriate

Advanced Process Modelling

  • Perform Non-Linear Regression Analysis
  • Perform Multiple Linear Regression Analysis (MLR)
  • Examine Residuals Analysis and understand its effects

Designing Experiments

  • Determine the reason for experimenting
  • Describe the difference between a physical model and a DOE model
  • Explain an OFAT experiment and its primary weakness
  • Shown Main Effects Plots and interactions, determine which effects and interactions may be significant
  • Create a Full Factorial Design

Wrap Up & Action Items

LSS Green Belt Control Phase

Phase Description:

The Control Phase of the DMAIC methodology is constructed to introduce important Lean Six Sigma tools for properly controlling solutions. There are eight modules in this phase:

Welcome to Control

Advanced Experiments

  • Use the results of a DOE to determine how to further optimize a process using the steepest ascent/descent method

Capability Analysis

  • Understand the importance of Capability Analysis as it is applied in the Control Phase
  • Select the appropriate method for Capability Analysis based on the type of data distribution of your process
  • Interpret the output of MINITAB’s Capability functions
  • Understand how the use for Capability Analysis may alter through the DMAIC phases

Lean Controls

  • Describe Lean tools
  • Understand how these tools can help with project sustainability
  • Understand how the Lean tools depends on each other
  • Understand how tools must document the defect prevention created in the Control Phase

Defect Controls

  • Describe some methods of defect prevention
  • Understand how these techniques can help with project sustainability
    • Including reducing those outliers as seen in the Advanced Process Capability section
    • If the vital X was identified, prevent the cause of defective Y
  • Understand what tools must document the defect prevention created in the Control Phase

Statistical Process Control - SPC

  • Describe the elements of an SPC Chart and the purposes of SPC
  • Understand how SPC ranks in defect prevention
  • Describe the 9 Step route or methodology of implementing a chart
  • Design subgroups if needed for SPC usage
  • Determine the frequency of sampling
  • Understand the Control Chart selection methodology
  • Be familiar with Control Chart parameter calculations such as UCL, LCL and the Center Line

Six Sigma Control Plans

  • Understand the 5 phases of the Control Plan
    • Training
    • Documentation
    • Monitoring
    • Response
    • Aligning Systems and Structures

Wrap Up & Action Items