LEAN SIX SIGMA GREEN BELT

The Lean Six Sigma Green Belt certification course takes you deeper into Lean and Six Sigma methodologies. You will learn the essentials of process improvement techniques. As a Lean Six Sigma Green Belt holder, you will be able to measure current performances of a process to identify issues and then formulate actionable solutions to eliminate them. The Lean Six Sigma Green Belt certification is a precursor to the Lean Six Sigma Black Belt certification

Why Lean Six Sigma Green Belt Course?

As an organization, having a trained Lean Six Sigma Green Belt team will translate to achieving organizational bottom lines in a cost-effective manner and in a shorter turnaround time. You will have experts who can handle complex processes to eliminate process DOWNTIME, thereby enhancing productivity and profitability

As an individual professional, Lean Six Sigma Green Belt certification gives you the skills to confidently discuss complex process subjects, recommend effective solutions and lead a project team successfully. Your career growth prospects will be enhanced as you will be positioned for promotion within your organization and better job offers.

Prerequisite: To qualify for this Lean Six Sigma Green Belt certification, You must have the Six Sigma Yellow Belt Certification

This Lean Six Sigma Green Belt certification offers you eligibility for the Lean Six Sigma Black Belt Certification

Course Structure

This course follows the complete DMAIC (Define, Measure, Analyze, Improve, Control) framework. The Green Belt curriculum covers all five phases, building on Yellow Belt foundations and introducing advanced statistical analysis, hypothesis testing, regression, statistical process control, and Lean control methods

1.0 Define Phase

1.0 The Basics of Six Sigma

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

1.2 The Fundamentals of Six Sigma

• Defining a Process
• Critical to Quality Characteristics (CTQ’s)
• Cost of Poor Quality (COPQ)
• Pare to Analysis (80/20 rule)
• Basic Six Sigma Metrics
• Including DPU, DPMO, FTY, RTY Cycle Time; deriving these metrics

1.3 Selecting Lean Six Sigma Projects

• Building a Business Case and Project Charter
• Developing Project Metrics
• Financial Evaluation and Benefits Capture

1.4 The Lean Enterprise

• Understanding Lean
• The History of Lean
• Lean and Six Sigma
• The Seven Elements of  Waste:
  • Overproduction,Correction, Inventory, Motion, Overprocessing, Conveyance, Waiting.

• 5S
  • Sort, Straighten, Shine, Standardise, Self-Discipline.

Define Phase – Green Belt Exam

2.0 Define Phase

2.1 Process Definition

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

2.2 Six Sigma Statistics

• Basic Statistics
• Descriptive Statistics
• Normal Distributions and Normality
• Graphical Analysis

2.3 Measurement System Analysis

• Precision and Accuracy
• Bias, Linearity and Stability
• Gage Repeatability and Reproducibility
• Variable and Attribute MSA

2.4 Process Capability

• Capability Analysis
• Concept of Stability
• Attribute and Discrete Capability
• Monitoring Techniques

Measure Phase – Green Belt Exam

3.0 Analyze Phase

3.1 Patterns of Variation

• Multi-Vari Analysis
• Classes of Distributions

3.2 Inferential Statistics

• Understanding Inference
• Sampling Techniques and Uses
• Central Limit Theorem

3.3 Hypothesis Testing

• General Concepts and Goals of Hypothesis Testing
• Significance; Practical  Statistical
• Risk; Alpha and Beta
• Types of Hypothesis Test

3.4 Hypothesis Testing with Normal Data

• 1 and 2 Sample t-tests
• 1 Sample Variance
• One Way ANOVA
  • Including Tests of Equal Variance, Normality Testing and Sample Size calculation, performing tests and interpreting results

3.5 Hypothesis Testing with Non-Normal Data

• Mann-Whitney
• Kruskal-Wallis
• Mood’s Median
• Friedman
• 1 Sample Sign
• 1 Sample Wilcoxon
• One and Two Sample Proportion
• Chi-Squared(Contingency Tables)
  • Including Tests of Equal Variance, Normality Testing and Sample Size calculation, performing tests and interpreting results

Analyze Phase – Green Belt Exam

4.0 Improve Phase

4.1 Simple Linear Regression

• Correlation
• Regression Equations
• Residuals Analysis

4.2 Multiple Regression Analysis

• Non-LinearRegression
• Multiple Linear Regression
• Confidence and Prediction Intervals
• Residuals Analysis
• Data Transformation, Box Cox

Improve Phase – Green Belt Exam

5.0 Control Phase

5.1 Lean Controls

• ControlMethods for 5S
• Kanban
• Poka-Yoke (MistakeProofing)

5.2 Statistical Process Control (SPC)

• Data Collection for SPC
• I-MR Chart
• Xbar-R Chart
• U Chart
• P Chart
• NP Chart
• Xbar-S Chart
• CuSum Chart
• EWMA Chart
• Control Chart Anatomy

5.3 Six Sigma Control Plans

• Cost Benefit Analysis
• Elements of the Control Plan
• Elements of the Response Plan

Control Phase – Green Belt Exam

EXPECTED LEARNING OUTCOME

At the end of this course, you will

• Have a complete understanding of Quality from the perspective of its founding fathers (Deming,Juran, Ishikawa, etc.)
• Grasp the evolution, philosophy and objectives of Six Sigma methodology
• Have a deeper understanding of each component of DMAIC, DMADV and DFSS and implement them in real-life situations
• Be able to set up, manage and lead Six Sigma teams, from understanding and documenting customer requirements, project planning, through to the final output
• Have a complete appreciation of the Lean methodology and master the art of using it to solve real- life process problems
• Master the techniques of using both qualitative and quantitative analysis to get projects to successful completion
• Apply inferential statistics, hypothesis testing, and regression analysis to identify root causes
• Implement and interpret Statistical Process Control (SPC) charts including I-MR, Xbar-R, Xbar-S, P, NP, U, CuSum, and EWMA charts
• Apply Lean control methods including 5S controls, Kanban, and Poka-Yoke
• Develop Six Sigma control plans, cost benefit analysis, and response plans

COURSE DETAILS

Course Requirements:

To qualify for this Lean Six Sigma Green Belt certification course, you must first possess the Six Sigma Yellow Belt certification.

Course Duration

• Complete this Lean Six Sigma Green Belt certification course at your own pace within 6 months.
• Approximate instructional runtime: 20 hours.
• Expected study time: 100 hours (+/- 20).
• The course will be effectively taught using 3 real-life case studies.

Course Audience

• Quality team members looking to participate as Green Belt members
• Yellow Belt professionals who want to upgrade and assist Black Belts in projects
• Entrepreneurs and business managers looking for higher Lean Six Sigma expertise to improve processes or projects
• Executives and entrepreneurs wanting to improve their earning potential to take on more complex projects 

Certification Exam Details

Why Choose Us?

Lean Six Sigma Australia (LSSA) is a reputable eLearning organisation located in Australia, providing a robust curriculum of Lean Six Sigma courses and certifications to our global audience. Our courses are designed to be self-paced, comprehensive and relatable to real-life industry practice. Our experienced training instructors are practitioners who possess in-depth knowledge of Lean Six Sigma and employ eLearning best practices in delivering the courses to achieve the learning outcomes.