Lean Six Sigma Green Belt Training
Overview
Lean Six Sigma saves organizations time and money through continuous improvement. Employers therefore often pay a premium for Six Sigma trained and certified managers. Our Lean Six Sigma Green Belt training teaches you the strategies and tools necessary for process improvement and provides you the Lean Six Sigma Green Belt Certification. Take your career to the next level by getting your Lean Six Sigma certification today!
This course is delivered by our partner, Educate 360 (Watermark Learning/Project Management Academy). Pre-course communications will come from our partners.
Prerequisites
- Basic familiarity with JS.
- Basic familiarity with the WEB world including HTTP, CSS, HTML.
- Some React experience is recommended.
Audience
Front end developers.
How You Will Benefit
- Master a set of tools and strategies to reduce costs and increase profits
- Implement meaningful metrics and measurements to improve business processes
- Improve quality and reliability, which improves customer satisfaction
- Implement plans to reduce cycle times
- Identify constraints to improve process flows
- Implement Six Sigma metrics to make fact-based decisions based on objective criteria
- Become a specialist in Six Sigma principles
- Add the Lean Six Sigma Green Belt Certification to your resume
Lean Six Sigma Green Belt Certification
Upon successfully completing the course (attending all days and completing all assignments), you will earn the Lean Six Sigma Green Belt (LSSGB) credential from Project Management Academy®. Employers and third parties may submit certification inquiries to verify@projectmanagementacademy.net. If your job or industry requires it, our course also prepares you to pass the IASSC certification exam (optional).
What You Will Learn
In this course you will learn how to apply the DMAIC framework, including how to:
- Initiate Six Sigma projects to bring about significant and lasting organizational change
- Formulate project selection criteria to focus Six Sigma initiatives on projects that will have the greatest chance of success
- Apply the DMAIC improvement process to solve business problems
- Develop process maps to gain a full understanding of an existing process
- Incorporate the “y f(x)” method to determine the relationship between key inputs and process outputs
- Employ Six Sigma data-driven approaches to solve problems at their root cause and prevent their recurrence
- Reduce waste and defects by applying Lean and Six Sigma principles
- Implement control charts to monitor how a process is performing over time
Course Content
Fundamentals
- Roles and Responsibilities
- Lean vs. Six Sigma
- Learning Assessment
Fundamentals
of Six Sigma
- History of Six Sigma
- Lean vs. Six Sigma
- DMAIC vs. DMADV
Define
- Introduction to Define
- Define Tools and Terminology
- Y=f(x)
- Rolled Throughput Yield (RTY)
- Voice of the Customer (VOC)
- Critical to Quality (CTQ)
- Quality Function Deployment (QFD)
- House of Quality
- Kano Models and Pareto Charts
- 5 Whys
- Learning Assessment
Lean
- Lean Fundamentals
- Kaizen
- 7 Waste (Muda)
- Current State vs. Future State
- Team Selection
- Project Charter
- Responsibility Assignment Matrix (RAM)
- Process Mapping
- Process Mapping Exercise
- Affinity Diagrams
- 5S and 6M’s
- Visual Management
- Traditional and Lean Production(s)
- Takt Time
- Focused Factories and Demand Flow
- Single Minute Exchange of Die (SMED)
- Mistake Proofing (Poka-Yoke)
- Learning Assessment
Measure
- Introduction to Measure
- Measure Tools and Key Components
- Basic Statistics
- Data Collection Plan
- Scales of Measurement
- Sampling
- Data Definitions
- Gauge R&R
- Statistical Process Control (SPC): Control Charts; SPC Errors;
- Understanding Variation
- Displaying Variation
- Measurement Systems Analysis (MSA)
- Quality Loss Function
- Process Capability
- Measurement Error
- Learning Assessment
Analyze
- Introduction to Analyze
- Analyze Tools and Goals
- Revisiting Y=f(x)
- Graphical Analysis
- Problem Statement
- Failure Mode Effects Analysis (FMEA)
- Root Cause Analysis
- Hypothesis Testing
- - Confidence Intervals
- - Standard Deviations vs. Standard Value
- - Sample Mean
- Analysis of Variance (ANOVA)
- Bootstrapping (Resampling)
- Risk Management
- Learning Assessment
Improve
- Introduction to Improve
- Improve Tools
- Developing Solutions
- Risk Mitigation
- Design of Experiments (DOE)
- Cause and Effect Matrix
- Finalized Solutions
- Learning Assessment
Control
- Introduction to Control
- Control Tools
- Control Plans
- Response Plans
- Learning Assessment
