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Certified Lean Six Sigma Black Belt Spring 2025
Course Introduction
1.1Introductions and Course Overview
1.2 Intro To Course
Zoom Meeting 0
Module 1: Define - Organization-Wide Planning and Deployment
Module 1 Outcomes and Topics (1:17)
1.2 Why Lean Six Sigma (20:47)
1.3 Lean Six Sigma History (10:46)
1.4 Business - Performance Excellence (26:06)
1.5 Lean Six Sigma Synergy (10:34)
1.6 Six Sigma Methodology (11:55)
1.7 Lean Methodology (11:07)
1.8 Improvement Methodologies (4:41)
1.9 Introduction to Pivot Tables (10:02)
Zoom meeting 1
Module 2: Process Thinking
2.0 Learning outcomes (1:19)
2.1 Business Processes (10:02)
2.2 Complex SIPOCs with Linkages (10:13)
2.3 Complex Process Mapping (21:02)
2.4 Value Stream Mapping (12:18)
2.5 Process Mapping and VSM applications (9:34)
2.6 VSM Analysis and Applications (15:35)
Zoom meeting 2:
Module 3: Define: Project and Program Management Process
3.1 Project Management Process & Role of LSS Practitioners (8:45)
3.2 Problem Statement (9:02)
3.3 Voice of the Customer (VOC) and Critical to Quality Characteristics (CTQ) (7:45)
3.4 Affinity Diagram (3:42)
3.5 Project Scoping (2:53)
3.6 Project Charter (3:29)
3.7 Work Breakdown Structure (4:41)
3.8 Activity Network Diagram, CPM and Gant Chart (12:03)
3.9 Team Dynamics and Facilitation (10:56)
3.10 Stakeholder Analysis (4:54)
3.11 Change Management (12:28)
Zoom meeting 3:
Module 4: Measure: Quality Measures
4.1 The Need for a Baseline (2:15)
4.2 Quality Metrics (4:16)
4.3 Baseline Customer Satisfaction – Net Promoter Score (9:18)
4.4 Lean Principles (3:01)
4.5 Lean Principles Define Value (3:31)
4.6 Lean Principles Focus on Value Stream (3:20)
4.7 Lean Principles Make Value Flow (5:49)
4.8 Eight Types of Waste Analysis (9:37)
4.9 Lean Princile Implement Pull (5:17)
4.10 Lean Principles- Work to Perfection (6:45)
4.11 Overall Equipment Efficiency (2:58)
4.12 Sigma Level Discrete Data (5:57)
4.13 Roll Throughput Rate (2:47)
4.14 Sigma Level Continuous Data (6:25)
Zoom meeting 4:
Module 5: Measure - Statistics and Probability
5.1 Intro to Statistics (3:30)
5.2 Data Types (3:18)
5.3 Probability (6:43)
5.4 Advanced Probability (4:45)
5.5 Sampling (5:26)
5.6 Normal Distribution (14:03)
5.7 Descriptive Statistics (12:22)
5.8 Sigma Level (2:08)
5.9 Z Transformation (11:42)
5.10 Probability Distributions (4:45)
Zoom meeting 5:
Module 6: Measure - Measurement System Analysis and Process Capability
6.1 What is a MSA and why conduct the study (2:30)
6.2 Types of data measurement errors (3:03)
6.5 Attribute Agreement Analysis (Qualitative Data MSA) (4:47)
6.3 Bias (5:58)
6.4 Precision (6:12)
6.6 Attribute Agreement Analysis Process (2:29)
6.7 Attribute Agreement Analysis Interpretation (7:10)
6.8 Continuous Data MSA (6:57)
6.9. Continuous Data MSA Interpretation (12:53)
6.10. Capability Study (6:21)
6.11. Capability Indices (7:19)
6.12. Capability Output Analysis (6:05)
Case Study (8:53)
Summary - Review (27:36)
Zoom meeting 6:
Module 7: Analyze - Root Cause Analysis
7.1 Problem Solving Methodologies (5:33)
7.2 Check Sheets and Concentration Diagram (2:48)
7.3 Tree Diagram (3:46)
7.4 Cause and Effect Diagram (4:24)
7.5 Five Why (4:23)
7.6 Cause and Effect Matrix (9:55)
7.7 Pie and Bar Charts (3:15)
7.8 Time Series Plot and Run Charts (3:13)
7.9 Histogram (5:46)
7.10 Box Plot (8:44)
7.11 Pareto Charts (4:19)
Zoom meeting 7:
Module 8: Analyze - Hypothesis Testing
8.1 Central Limit Theorem (9:33)
8.2 Confidence Intervals (10:40)
8.3 Sample Size Calculation (8:27)
8.4 Hypothesis Testing Intro (4:50)
8.5 Hypothesis testing process (10:38)
8.6 Parametric vs, Nonparametric Hypothesis Testing (5:30)
8.7 Hypothesis testing Errors (4:53)
8.8 Hypothesis Testing one Sample (5:07)
8.9 Hypothesis testing two samples (6:04)
8.10 Hypothesis testing more than two samples (14:13)
Zoom meeting 8:
Module 9: Analyze - General Linear Model
9.2 Correlation (5:38)
9.5 General Linear Model Introduction (5:57)
9.6 General Linear Model ANOVA (6:20)
9.7 General Linear Model Regression (3:15)
9.8 Multiple categorical IV and variable IV (3:43)
9.3 Linear Regression (8:29)
9.1 Scatter Plot (3:28)
9.4 Multiple Regression (5:43)
9.9 GLM with R squared (2:36)
Zoom meeting 9:
Module 10: Improve - Design of Experiments (DOE)
10.1 DOE Introduction (7:36)
10.2 DOE Key Terms Factors (5:09)
10.4 DOE Confounding (3:51)
10.6 Create Factorial Design (4:21)
10.7 Factorial Designs analysis and interpretation (5:09)
10.5 Factorial Designs Main Effects and Interactions (5:23)
10.3 DOE Design (8:37)
Zoom meeting 10:
Module 11: Control - Sustaining Results
11.2 FMEA (6:52)
11.1 Process Control (5:55)
11.3 Control Plan (6:06)
11.4 Control Tools Andon (6:43)
11.6 Control Tools Poka Yoke (8:25)
Zoom meeting 11:
11.5 Control Tools Standardized Work (8:04)
11.7 Introduction to Statistical Process Control (7:41)
11.8 Western Electric Rules (5:15)
11.9 Individual Moving Range control Charts (5:12)
11.10 X bar R Control Charts (4:00)
Zoom meeting 11:
Module 12 : Final Exam
12.1 Final Exam: Final Exam: December 15 to December 24, 2024
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3.3 Voice of the Customer (VOC) and Critical to Quality Characteristics (CTQ)
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