Chapter Calendar

Lean Six Sigma Green Belt Workshop 

with Mansoor Mohammed

COURSE OVERVIEW

The Lean Six Sigma program is designed to prepare participants for the LSSGB (Lean Six Sigma Green Belt)

The exam conducted by IASSC (International Association for Six Sigma Certification) and the CSSGB (Certified Six Sigma Green Belt)

Participants will get a ONE DAY introductory classroom training aligned to the Universally Accepted Lean Six Sigma Body of Knowledge as developed by IASSC

COURSE BENEFITS

Learning Objectives

On completion of this training program, participants will:

• Demonstrate knowledge on six sigma and lean six sigma methodologies
• Contribute better to his/her responsibilities in an organization

Our Lean Six Sigma Combo course comes with the following components:

• One Day IASSC accredited Lean Six Sigma classroom training conducted by PMI
• 7.5 PMI PDU Certificate
• Learning aids like Flashcards, Toolkits

COURSE AUDIENCE

IASSC has no eligibility requirements. Six Sigma course is ideal for all professionals seeking to improve their Six Sigma knowledge with Lean Techniques and gain a Lean Six Sigma Certification. This course is also suitable for individuals seeking to make a career in managing Six Sigma/Lean Six Sigma initiatives.

COURSE AGENDA

Module 1 - The Basics of Lean and Six Sigma (Define Phase)

• Meanings of Six Sigma
• General History of Six Sigma & Continuous Improvement
• Deliverables of a Lean Six Sigma Project
• Voice of the Customer, Business and Employee
• Six Sigma Roles & Responsibilities
• Defining a Process
• Critical to Quality Characteristics (CTQ’s)
• Cost of Poor Quality (COPQ)
• Pareto Analysis (80:20 rule)
• Basic Six Sigma Metrics
• Building a Business Case & Project Charter
• Developing Project Metrics
• Financial Evaluation & Benefits Capture
• The History of Lean
• The Seven Elements of Waste

Module 2 - Measure Phase

• Process Definition
• Cause & Effect / Fishbone Diagrams
• Process Mapping, SIPOC, Value Stream Map
• Failure Modes & Effects Analysis (FMEA)
• Basic Statistics
• Descriptive Statistics
• Precision & Accuracy
• Bias, Linearity & Stability
• Capability Analysis
• Concept of Stability

 Module 3 - Analyze Phase

• Multi-Vari Analysis
• Classes of Distributions
• Understanding Inference
• Sampling Techniques & Uses
• Central Limit Theorem
• General Concepts & Goals of Hypothesis Testing
• Types of Hypothesis Test

Module 4 - Improve Phase

• Correlation
• Residual Analysis
• Non-Linear Regression
• Multiple Linear Regression
• Confidence & Prediction Intervals

Module 5 - Control Phase

• Control Methods for 5S
• Kanban
• Poka-Yoke (Mistake Proofing)
• Data Collection for SPC
• Xbar-R Chart
• Control Chart Anatomy
• Cost Benefit Analysis
• Elements of the Control Plan
• Elements of the Response Plan