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**

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

- 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

- 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

- 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

- 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

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:

- 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

- 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

- 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

- 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**

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:

- 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

- 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

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

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

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

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

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

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:

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

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

- 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

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:

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

- 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

- 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

- 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

- 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

- 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.