Lean Six Sigma Black Belt (ICBB™) Certification Training

• Introduction
• ICBB™ Certification Overview

Lesson 01 – The Basics of Six Sigma

• Introduction to Define Phase 
• Six Sigma
• Lean
• Sigma Shift
• Yield
• Continuous Improvement Process Evolution 
• Six Sigma Deliverables
• VOC Campaign & Tools
• KANO Analysis
• Six Sigma Roles and Responsibilities 
• Project Champion and Master 
• Black Belt Black Belt and Yellow Belt
• Drivers of Six Sigma

Lesson 02 – The Fundamentals of Six Sigma 

• Six Sigma Process
• Project Charter
• Critical to Quality
• Cost of poor quality 
• Calculating CoPQ 
• Pareto Analysis
• Basics of Six Sigma Metrics

Lesson 03 – Selecting Lean Six Sigma Projects 

• Selecting Lean Six Sigma Projects
• Project Selection Roadmap
• Building Business Case and Project Charter 
• Tuckman’s Stages of Team Formation
• Developing Project Metrics
• Financial Evaluation and Benefits Capture 

Lesson 04 – The Lean Enterprise

• Understanding Lean
• History of Lean
• Lean & Six Sigma
• Principles of Lean and Methodology
• Seven Elements of Waste: Overproduction, Correction, Inventory, Motion, Overprocessing, Conveyance, Waiting.
• 5S: Sort, Straighten, Shine, Standardize, Self-Discipline

Lesson 01 – Process Definition

• Introduction to Measure Phase
• Tools to Define a Process 
• Cause & Effect /Fishbone diagram 
• Process Mapping
• SIPOC Process Map
• Value Stream Maps and Key Metrics
• X-Y Diagram 
• Failure Mode and Effects Analysis (FMEA)
• FMEA Process and Template
• Severity, Occurrence, and Detection Table 
• Risk Priority Number (RPN)

Lesson 02 – Six Sigma Statistics 

• Data and Measuring
• Basic Statistics
• Descriptive Statistics
• Measures of Central Tendency 
• Measures of Dispersion
• Data Collection Plan
• Data Collection Methodology 
• Develop a Measurement Plan 
• Graphical Analysis and Tools
• Introduction to Minitab
• Normal Distribution and Normality 

Lesson 03 – Measurement System Analysis 

• Introduction
• Measurement System Analysis: Overview
• Measurement Error: Categories
• Gage Repeatability & Reproducibility
• Accuracy and Precision 
• Bias
• Stability
• Linearity
• Variable and Attribute MSA

Lesson 04- Process Capability 

• Process Capability
• Capability Analysis
• Concept of Stability
• Attribute & Discrete Capability
• Monitoring Techniques

Lesson 01 – Classes of Distribution

• Introduction to Analyze Phase 
• Frequency Distribution
• Demo: Frequency Distribution 
• Probability Distribution & Types
• Types of Discrete Probability Distribution
• Types of Continuous Probability Distribution

Lesson 02 – Inferential Statistics

• Introduction
• Inferential Statistics
• Branches of Inferential Statistics 
• Central Limit Theorem

Lesson 03 – Hypothesis Testing

• Introduction
• Basics of Hypothesis Testing 
• General Concepts & Goals of Hypothesis Testing
• Significance: Practical vs. Statistical
• Risk: Alpha & Beta
• Types of Hypothesis Test

Lesson 04 – Hypothesis Testing with Normal Data

• Hypothesis Testing with Normal Data
• 1 & 2 Sample t-tests
• 1 Sample variance
• One Way ANOVA
• Demo: Anova
• Including Tests of Equal Variance, Normality Testing and Sample Size Calculation, Performing Tests and Interpreting Results
• Residual Plot

Lesson 05 – 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

Lesson 01 – Simple Linear Regression

• Introduction to Improve Phase
• Correlation
• Demo: Correlation
• Regression Analysis
• Demo: Regression
• Residual Analysis

Lesson 02 – Multiple Regression Analysis 

• Introduction
• Multi-Vari Analysis
• Demo: Multi-Vari Analysis
• Non-Linear Regression
• Multiple Linear Regression
• Demo: Multiple Linear Regression
• Confidence & Prediction Intervals
• Residuals Analysis
• Data Transformation, Box-Cox

Lesson 03 – Designed Experiments 

• Introduction
• Designed Experiments
• Experiment Objectives
• Experimental Methods
• Experimental Design: Considerations

Lesson 04 – Factorial Experiments 

• Introduction
• 12k Full Factorial Designs
• Full Factorial Experiments
• Demo: Full Factorial Experiments 
• Linear & Quadratic Models
• Types of Response Surface Designs 
• Balanced and Orthogonal Design 
• Fit, Diagnose Model and Center Points
• Fractional Factorial Experiments
• Confounding Effects
• Experimental Resolution

Lesson 01 – Lean Controls

• Introduction to Control Phase
• Lean Controls
• Control Methods of 5S
• Kanban Principles
• Steps to Implement Kanban 
• Poka-Yoke or Mistake Proofing 

Lesson 02 – Statistical Process Control (SPC)

• 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 Methods
• Control Chart Anatomy
• Subgroups, Impact of Variation, Frequency of Sampling
• Center Line & Control Limit Calculations

Lesson 03 – Six Sigma Control Plans 

• Introduction
• Project Cost-Benefit Analysis
• Elements of a Control Plan
• Control Plan: Training
• Elements of Response Plan
• Project Closure