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Lean Six Sigma Green Belt Certification Course

Lean Six Sigma Green Belt course focuses on providing students with an understanding of the various Six Sigma and Lean Tools and Techniques useful to improve the production process and minimize defects in the end product with a greater focus on the practical implementation of these tools and techniques in the organization.

Target Audience

Employees and organizations requiring a standardized approach to problem-solving for the purpose of continuous improvement in Quality Management.

Prerequisites

Preferably Six Sigma Yellow Belt certified, but not mandatory.

Lean Six Sigma Body of Knowledge for Green Belts

1.0 Define Phase

1.1 The Basics of Six Sigma

  • 1.1.1 Meanings of Six Sigma
  • 1.1.2 General History of Six Sigma & Continuous Improvement
  • 1.1.3 Deliverables of a Lean Six Sigma Project
  • 1.1.4 The Problem Solving Strategy Y = f(x)
  • 1.1.5 Voice of the Customer, Business, and Employee
  • 1.1.6 Six Sigma Roles & Responsibilities

1.2 The Fundamentals of Six Sigma

  • 1.2.1 Defining a Process
  • 1.2.2 Critical to Quality Characteristics (CTQ’s)
  • 1.2.3 Cost of Poor Quality (COPQ)
  • 1.2.4 Pareto Analysis (80:20 rule)
  • 1.2.5 Basic Six Sigma Metrics
    a. including DPU, DPMO, FTY, RTY Cycle Time, deriving these metrics and these metrics

1.3 Selecting Lean Six Sigma Projects

  • 1.3.1 Building a Business Case & Project Charter
  • 1.3.2 Developing Project Metrics
  • 1.3.3 Financial Evaluation & Benefits Capture

1.4 The Lean Enterprise

  • 1.4.1 Understanding Lean
  • 1.4.2 The History of Lean
  • 1.4.3 Lean & Six Sigma
  • 1.4.4 The Seven Elements of Waste
    a. Overproduction, Correction, Inventory, Motion, Overprocessing, Conveyance, Waiting.
  • 1.4.5 5S
     a. Sort, Straighten, Shine, Standardize, Self-Discipline

2.0 Measure Phase

2.1 Process Definition

  • 2.1.1 Cause & Effect / Fishbone Diagrams
  • 2.1.2 Process Mapping, SIPOC, Value Stream Map
  • 2.1.3 X-Y Diagram
  • 2.1.4 Failure Modes & Effects Analysis (FMEA)

2.2 Six Sigma Statistics

  • 2.2.1 Basic Statistics
  • 2.2.2 Descriptive Statistics
  • 2.2.3 Normal Distributions & Normality
  • 2.2.4 Graphical Analysis

2.3 Measurement System Analysis

  • 2.3.1 Precision & Accuracy
  • 2.3.2 Bias, Linearity & Stability
  • 2.3.3 Gage Repeatability & Reproducibility
  • 2.3.4 Variable & Attribute MSA

2.4 Process Capability

  • 2.4.1 Capability Analysis
  • 2.4.2 Concept of Stability
  • 2.4.3 Attribute & Discrete Capability
  • 2.4.4 Monitoring Techniques

3.0 Analyze Phase

3.1 Patterns of Variation

  • 3.1.1 Multi-Vari Analysis
  • 3.1.2 Classes of Distributions

3.2 Inferential Statistics

  • 3.2.1 Understanding Inference
  • 3.2.2 Sampling Techniques & Uses
  • 3.2.3 Central Limit Theorem

3.3 Hypothesis Testing

  • 3.3.1 General Concepts & Goals of Hypothesis Testing
  • 3.3.2 Significance; Practical vs. Statistical
  • 3.3.3 Risk; Alpha & Beta
  • 3.3.4 Types of Hypothesis Test

3.4 Hypothesis Testing with Normal Data

  • 3.4.1 1 & 2 sample t-tests
  • 3.4.2 1 sample variance
  • 3.4.3 One Way ANOVA
    a. Including Tests of Equal Variance, Normality Testing, and Sample Size calculation,  performing tests, and interpreting results.

3.5 Hypothesis Testing with Non-Normal Data

  • 3.5.1 Mann-Whitney
  • 3.5.2 Kruskal-Wallis
  • 3.5.3 Mood’s Median
  • 3.5.4 Friedman
  • 3.5.5 1 Sample Sign
  • 3.5.6 1 Sample Wilcoxon
  • 3.5.7 One and Two Sample Proportion
  • 3.5.8 Chi-Squared (Contingency Tables)
    a. Including Tests of Equal Variance, Normality Testing, and Sample Size calculation,  performing tests, and interpreting results.

4.0 Improve Phase

4.1 Simple Linear Regression

  • 4.1.1 Correlation
  • 4.1.2 Regression Equations
  • 4.1.3 Residuals Analysis

4.2 Multiple Regression Analysis

  • 4.2.1 Non- Linear Regression
  • 4.2.2 Multiple Linear Regression
  • 4.2.3 Confidence & Prediction Intervals
  • 4.2.4 Residuals Analysis
  • 4.2.5 Data Transformation, Box-Cox

5.0 Control Phase

5.1 Lean Controls

  • 5.1.1 Control Methods for 5S
  • 5.1.2 Kanban
  • 5.1.3 Poka-Yoke (Mistake Proofing)

5.2 Statistical Process Control (SPC)

  • 5.2.1 Data Collection for SPC
  • 5.2.2 I-MR Chart
  • 5.2.3 Xbar-R Chart
  • 5.2.4 U Chart
  • 5.2.5 P Chart
  • 5.2.6 NP Chart
  • 5.2.7 Xbar-S Chart
  • 5.2.8 CuSum Chart
  • 5.2.9 EWMA Chart
  • 5.2.10 Control Chart Anatomy

5.3 Six Sigma Control Plans

  • 5.3.1 Cost-Benefit Analysis
  • 5.3.2 Elements of the Control Plan
  • 5.3.3 Elements of the Response Plan

Certified Lean Six Sigma Green Belt by IASSC Body of Knowledge

To achieve IASSC Certified Green Belt (IASSC-CGB™) from the International Association for  Six Sigma Certification, candidates must sit for the IASSC Certified Lean Six Sigma Green Belt  Exam and achieve a minimum score of 70%.
Green Belt Exam Voucher for $295 USD purchased and set through the IASSC website. An IASSC Certified Green Belt is issued a Certificate (PDF) which includes a Certification Number, a badge (.png file), added to the Official IASSC Certification Register.  

Certification Testing

On-Demand Web-Based Certification Testing - Available to take any time from home or from the office.

How To Apply

a) Purchase an exam voucher
b) Register to the testing system and select a date and time for your exam. c) log in to the testing system 15 minutes prior to your exam.

The IASSC Certified Lean Six Sigma Green Belt Exam™ is a 100 question, closed book, proctored exam with a 3-hour allotted time. Some forms of this exam may also include up to an additional 10 non-graded questions*. The Exam contains approximately 20 multiple-choice and true/false questions from each major section of the IASSC Lean Six Sigma Green Belt Body of  Knowledge. There is no limitation or time restriction on examination retakes.