Six Sigma green belt certification- Comprehensive training and exam preparation to achieve Certification with the International Association of Six Sigma Certification (IASSC) – the most highly regarded independent global Certification.
This course is very comprehensive and doesn’t require any other pre-requisite training. You will learn the foundation skills and develop up to the Advanced level as part of this intensive 3-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 Training courses are run by Lean Six Sigma experts.
Foreword
The Lean Six Sigma 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.
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
Duration
Scheduled classroom training (3 Days)
Course Outline
LSS 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
LSS 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:
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
LSS 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
LSS 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:
Process Modeling Regression
Perform the steps in a Correlation and a Regression Analysis
Explain when Correlation and Regression is appropriate
Advanced Process Modeling
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
LSS 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:
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
Date for training: 30-31 July, 2021
Training will be taken through our Virtual online classes to be led by our certified professionals.
Time for training will be 10am to 4pm daily
Examination will be based on real life project applications that will be conducted for a duration of two weeks by all candidates.
A minimum score of 60% is required for qualification
Fee for both training and examination is N180,000. After you register online another form will be sent you to fill and with more details of your profile.