Lesson 01: The Basics of Six Sigma

1.01 Introduction to Define Phase
1.02 Learning Objectives
1.03 Six Sigma
1.04 Lean
1.05 Sigma Shift
1.06 Yield
1.07 Continuous Improvement Process Evolution
1.08 Six Sigma Deliverables
1.09 Problem Solving Strategy
1.10 VOC Campaign
1.11 VOC Tools
Voice of Business (VOB)
Voice Of Employee (VOE)
1.12 KANO Analysis
1.13 Six Sigma Roles and Responsibilities
1.14 Project Champion and Master Black Belt
1.15 Black Belt and Yellow Belt
1.16 Drivers of Six Sigma
1.17 Quick Recap
Knowledge Check

Lesson 02: The Fundamentals of Six Sigma

2.01 Introduction
2.02 Process
2.03 Project Charter
2.04 Critical to Quality
2.05 Cost of Poor Quality
2.06 Calculating CoPQ
2.07 Pareto Analysis
2.08 Basic Six Sigma Metrics
2.09 Quick Recap
Knowledge Check

Lesson 03: Lean Six Sigma Projects

3.01 Introduction
3.02 Selecting Lean Six Sigma Projects
3.03 Project Selection Roadmap
3.04 Project Charter Elements
3.05 Project Charter Business Case
3.06 Project Charter Problem Statement
3.07 Project Charter Goal Statement
3.08 Project Charter Scope
3.09 Project Charter Key Milestones
3.10 Project Charter Team Selection
3.11 Tuckmans Stages of Formation
3.12 The RACI Matrix
3.13 Expected Financial Benefits
3.14 Developing Project Metrics
3.15 Key Performance Indicator
3.16 Financial Evaluation and Benefits Capture
3.17 Net Present Value
3.18 Quick Recap
Knowledge Check

Lesson 04: The Lean Enterprise

4.01 Introduction
4.02 Lean
4.03 Principles of Lean
4.04 Lean Methodology
4.05 Lean and Six Sigma
4.06 Three Ms of Lean
4.07 Categories of Waste TIMWOOD
4.08 Category of Waste DOWNTIME
4.09 Five S
4.10 Steps in Five S: Part One
4.11 Steps in Five S: Part Two
4.12 Quick Recap
4.14 Activity
4.15 Solution
Knowledge Check

Lesson 01: Process Definition

1.01 Introduction to Measure Phase
1.02 Learning Objectives
1.03 Process
1.04 Cause and Effect Diagram
1.05 Drawing a Fishbone diagram
1.06 Root Cause
1.07 Process Mapping
1.08 Creating a Process Map
1.09 Process Mapping Levels
1.10 Four Types of Process Maps
1.11 SIPOC Process Map
1.12 Value Stream Maps
1.13 Value Stream Maps Key Metrics
1.14 X Y Diagram or Scatter Plots
1.15 Failure Mode and Effects Analysis
1.16 FMEA Process
1.17 FMEA Template
1.18 Severity Occurrence and Detection Table
1.19 Risk Priority Number
1.20 Quick Recap
Knowledge Check

Lesson 02: Six Sigma Statistics

2.01 Introduction
2.02 Data
2.03 Measuring Data
2.04 Basic Statistics
2.05 Measures of Central Tendency
2.06 Measures of Dispersion
2.07 Data Collection Plan
2.08 Data Collection Plan Steps
2.09 Develop a Measurement Plan
2.10 Collect Data
2.11 Sampling
2.12 Sampling Methods
2.13 Graphical Analysis
2.14 Graphical Analysis Tools
2.15 Introduction to Minitab
2.16 Demo: Box Plot One Variable
2.17 Demo: Box Plot with Three Variables
2.18 Demo: Time Series Plot
2.19 Normal Distribution
2.20 Standard Normal Distribution
2.21 Demo: Normality Test
2.22 Quick Recap
Knowledge Check

Lesson 03: Measurement System Analysis

3.01 Introduction
3.02 Measurement System Analysis: Overview
3.03 Good and Poor Measurement System Analysis
3.04 Measurement Error Categories
3.05 MSA Sources of Variation
3.06 Repeatability
3.07 Reproducibility
3.08 Accuracy and Precision
3.09 Bias
3.10 Stability
3.11 Linearity
3.12 MSA Types
3.13 Gage R R Guidance in MINITAB
3.14 Gage R R Ground Rules
3.15 Demo: Gage R R Continuous Data
3.16 Attribute Gage Study
3.17 Demo: Gage R R Attribute Data
3.18 Quick Recap
Knowledge Check

Lesson 04: Process Capability

4.01 Introduction
4.02 Process Capability Overview
4.03 RUMBA Analysis
4.04 Process Capabilities
4.05 Data Types
4.06 Baseline Performance: Part One
4.07 Baseline Performance: Part Two
4.08 Components of Variation
4.09 Process Stability
4.10 Process Capability Indices
4.11 Demo: Capability Analysis Continuous Data
4.12 Process Capability Indices: Example
4.13 Demo: Capability Analysis Continuous Data Sigma Level
4.14 Z Score
4.15 Process Baseline
4.16 Defects Per Unit
4.17 Defects Per Million Opportunities
4.18 Attribute Data: Example
4.19 Short-term and long-term Process Capability
4.20 Quick Recap
4.22 Activity
Knowledge Check
4.23 Solution

Lesson 01: Classes of Distribution

1.01 Introduction to Analyze Phase
1.02 Learning Objectives
1.03 Frequency Distribution
1.04 Demo: Frequency Distribution
1.05 Probability Distribution
1.06 Types of Probability Distributions
1.07 Types of Discrete Probability Distribution
1.08 Types of Continuous Probability Distribution
1.09 Quick Recap
Knowledge Check

Lesson 02: Inferential Statistics

2.01 Introduction
2.02 Inferential Statistics
2.03 Branches of Inferential Statistics
2.04 Central Limit Theorem
2.05 Quick Recap
Knowledge Check

Lesson 03: Hypothesis Testing

3.01 Introduction
3.02 Basics of Hypothesis Testing
3.03 Confidence Interval
3.04 Significant Difference
3.05 Detecting Significance
3.06 Statistical Hypothesis Test
3.07 Hypothesis Testing Risks
3.08 Beta Risk
3.09 Power of a Hypothesis Test
3.10 Sample Size
3.11 Hypothesis Testing Roadmap
3.12 Quick Recap
Knowledge Check

Lesson 04: Hypothesis Testing with Normal Data

4.01 Introduction
4.02 Normal Data
4.03 One-Sample T-Test
4.04 One-Sample T-Test - Sample Size
4.05 Demo One Sample t-Test
4.06 Two-Sample T-Test
4.07 Two-Sample T-Test Example
4.08 Demo Two : Sample t Test
4.09 Demo: Bartlett Test
4.10 Paired T-Test
4.11 Demo: Paired T Test
4.12 ANOVA
4.13 Demo: ANOVA
4.14 Residual Plots
4.15 Quick Recap
Knowledge Check

Lesson 05: Hypothesis Testing with Non Normal Data

5.01 Introduction
5.02 Non Parametric tests
5.03 Mann Whitney Test
5.04 Demo: Mann Whitney Test
5.05 Kruskal Wallis Test
5.06 Demo: Kruskal Wallis Test
5.07 Mood’s Median Test
5.08 Demo: Moods Median Test
5.09 Friedman Test
5.10 Demo: Friedman Test
5.11 One Sample Sign Test
5.12 Demo: One Sample Sign Test
5.13 One Sample Wilcoxon Test
5.14 Demo: One Sample Wilcoxon Test
5.15 One-Sample Proportion Tests
5.16 Demo: one Sample Proportion Test
5.17 Two Sample Proportion Tests
5.18 Demo: Two Sample Proportion Test
5.19 Chi Square Tests
5.20 Demo: Chi-Square Test of Independence
5.21 Chi-Square Goodness-of-Fit Test
5.22 Demo: Chi-Square Goodness of Fit
5.23 Chi-Square Cross Tabulation
5.24 Demo: Chi-Square Cross Tabulation
5.25 Levene F Test
5.26 Quick Recap
5.28 Exercise One
5.29 Exercise Two
Knowledge Check

Lesson 01: Simple Linear Regression

1.01 Introduction to Improve Phase
1.02 Learning Objectives
1.03 Correlation
1.04 Demo: Correlation
1.05 Demo Correlation Test using Scatter Plot
1.06 Correlation and Causation
1.07 Predictor Measures and Results
1.08 Correlation Coefficients
1.09 Regression Analysis
1.10 Demo: Regression
1.11 Residual Analysis
1.12 Quick Recap
Knowledge Check

Lesson 02: Multiple Regression Analysis

2.01 Introduction
2.02 Multi-Vari Analysis
2.03 Demo: MultiVari Analysis
2.04 Non Linear Regression
2.05 Multiple Linear Regression
2.06 Demo: Multiple Linear Regression
2.07 Variance Inflation Factor VIF
2.08 Variance Inflation Factor VIF Example
2.09 Confidence Interval in Multiple Linear Regression
2.10 Box-Cox Transformation
2.11 Demo: Box-Cox Transformation
2.12 Quick Recap
Knowledge Check

Lesson 03: Designed Experiments

3.01 Introduction
3.02 Designed Experiments
3.03 Phases of DOE Process
3.04 Optimization and Confirmation
3.05 Types of DOE Strategies
3.06 Full Factorial and Fractional Factorial Approaches
3.07 Experimental Design Considerations
3.08 Quick recap
Knowledge Check

Lesson 04: Factorial Experiments

4.01 Introduction
4.02 Factorial Designs
4.03 Full Factorial Experiments
4.04 Demo: Full Factorial Experiments
4.05 Quadratic Models
4.06 Types of Response Surface
4.07 Balanced and Orthogonal Designs
4.08 Center Points
4.09 Fractional Factorial Experiment
4.10 Confounding
4.11 Quick Recap
Knowledge Check

Lesson 01: Lean Controls

1.01 Introduction to Control Phase
1.02 Learning Objectives
1.03 Control Methods of Five S
1.04 Sort
1.05 Set in Order
1.06 Shine Standardize and Sustain
1.07 Kanban
1.08 Kanban Principles
1.09 Six Steps to Implement Kanban
1.10 Poka Yoke or Mistake Proofing
1.11 Mistake Proofing Examples
1.12 Quick Recap
Knowledge Check

Lesson 02: Statistical Process Control

2.01 Introduction
2.02 Statistical Process Control Purpose
2.03 Control Charts
2.04 Control Charts: Objectives
2.05 Control Charts: Uses
2.06 Control Charts: Types
2.07 Control Charts: Steps
2.08 Subgroup
2.09 Consideration for Rational Subgrouping
2.10 Charts for Attribute Data
2.11 Tests for Special Causes
2.12 Demo: I-MR Chart
2.13 Demo: X-Bar R Chart
2.14 Demo: XBar-S Chart
2.15 Demo: P-Chart
2.16 Demo: NP-Chart
2.17 Demo: U-Chart
2.18 Demo: C-Chart
2.19 Demo: CUSUM-Chart
2.20 Demo: EWMA-Chart
2.21 Quick Recap
Knowledge Check

Lesson 03: Six Sigma Control Plans

3.01 Introduction
3.02 Project Cost Benefit Analysis
3.03 Return on Investment
3.04 Cost Benefit Analysis
3.05 Cost Benefit Analysis: Steps
3.06 NPV and IRR
3.07 Selecting the Right Solutions
3.08 Implementation of Proposed Solutions Roadmap
3.09 Control Plan
3.10 Elements of a Control Plan
3.11 Control Plan Training
3.12 Response Plan
3.13 Project Closure
3.14 Quick Recap
Knowledge Check
3.16 Activity