Description
LEAN Six Sigma is the integration of LEAN manufacturing principles into Six Sigma methodology. The purpose of this course is to train participants in how to implement successful Lean Six Sigma initiatives, understand the basics of Lean and Six Sigma, discover techniques that will help them become better problem solvers using a more modern approach that combines both methods.
Participants will become familiar with the basic concepts of Lean and Six Sigma, as well as their integration within LEAN Six Sigma.
Participants will be able to recognize key concepts of effective problem solving using a modern approach that combines both methods.
Participants will understand the role of culture in an organization's ability to implement change.
Learning Objectives:
- Identify a business case for Lean Six Sigma
- Assess a process using key process indicators, and identify improvement opportunities
- Design an SIPOC diagram to support the defined Lean Six Sigma project
- Execute an improved process with target conditions as designed in the DMAIC cycle
- Demonstrate correct documentation of the steps used in the DMAIC cycle
- Communicate valid, actionable information to all stakeholders (including top management)
Course Prerequisites:
- Participants must have a basic understanding of statistical analysis.
- Participants are not required to have any previous knowledge of Lean or Six Sigma.
Course Outline:
Module 1: Lean Six Sigma Yellow Belt
This foundational module introduces the basics of Lean Six Sigma, focusing on core concepts and principles.
Week 1 – Introduction to Lean Six Sigma
* Lesson 1: What is Lean Six Sigma?
* Lesson 2: History and Evolution of Lean Six Sigma
* Lesson 3: DMAIC Methodology Overview
* Lesson 4: Roles in Lean Six Sigma
Week 2 – Define Phase
* Lesson 5: Understanding the Define Phase
* Lesson 6: Project Selection
* Lesson 7: Stakeholder Analysis
Week 3 – Measure Phase
* Lesson 8: Introduction to the Measure Phase
* Lesson 9: Basic Statistics
* Lesson 10: Data Collection Techniques
Week 4 – Analyze Phase
* Lesson 11: Introduction to the Analyze Phase
* Lesson 12: Root Cause Analysis
* Lesson 13: Pareto Analysis
Week 5 – Improve & Control Phase
* Lesson 14: Introduction to the Improve Phase
* Lesson 15: Solution Implementation
* Lesson 16: Introduction to the Control Phase
* Lesson 17: Control Charts and SPC
Week 6 – Lean Basics and Exam
* Lesson 18: Introduction to Lean
* Lesson 19: Overview of Lean Tools
* Lesson 20: Review and Exam Preparation
Module 2: Lean Six Sigma Green Belt
This intermediate module builds on the concepts from the Yellow Belt training and introduces more complex statistical methods.
Week 7 – Review of Yellow Belt Material
* Lesson 21: Review of Yellow Belt Material
Week 8 – Advanced Measure Phase
* Lesson 22: Measurement System Analysis
* Lesson 23: Process Capability Analysis
Week 9 – Advanced Analyze Phase
* Lesson 24: Hypothesis Testing
* Lesson 25: Regression Analysis
Week 10 – Advanced Improve & Control Phase
* Lesson 26: Design of Experiments
* Lesson 27: Advanced Control Charts
Week 11 – Lean Techniques
* Lesson 28: Advanced Lean Techniques
* Lesson 29: Value Stream Mapping
Week 12 – Project Management & Exam
* Lesson 30: Project Management for Lean Six Sigma
* Lesson 31: Review and Exam Preparation
Module 3: Lean Six Sigma Black Belt
This advanced module includes high-level statistical analysis and project management concepts, as well as change management and leadership principles.
Week 13 – Review of Green Belt Material
* Lesson 32: Review of Green Belt Material
Week 14 – Advanced Statistical Analysis
* Lesson 33: Multiple Regression Analysis
* Lesson 34: Non-Parametric Statistics
Week 15 – Design for Six Sigma (DFSS)
* Lesson 35: Introduction to DFSS
* Lesson 36: DMADV Methodology
Week 16 – Advanced Lean Techniques
* Lesson 37: Advanced Value Stream Mapping
* Lesson 38: Kaizen Blitz
Week 17 – Change Management & Leadership
* Lesson 39: Change Management in Lean Six Sigma
* Lesson 40: Leadership for Lean Six Sigma
Week 18 – Project Presentation & Exam
* Lesson 41: Project Presentation and Reporting

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