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Lean Six Sigma
1. Introduction to Lean Six Sigma
2. The Lean Framework
3. The Six Sigma Framework
4. Integrating Lean and Six Sigma
5. Advanced Statistical Tools and Techniques
6. Design for Six Sigma (DFSS)
7. Lean Six Sigma in Different Industries
8. Organizational Deployment Strategy
9. Implementation Challenges and Solutions
The Six Sigma Framework
Core Six Sigma Concepts
Understanding Process Variation
Common Cause Variation
Natural Process Fluctuations
System-Inherent Variation
Special Cause Variation
Assignable Causes
Unusual Events
Variation Reduction Strategies
Process Control
System Improvement
The Concept of a Defect
Defining Defects
Customer Requirements
Specification Limits
Defect Opportunities
Opportunity Identification
Counting Methods
Defect Classification
Critical Defects
Major Defects
Minor Defects
Defects Per Million Opportunities (DPMO)
Calculating DPMO
Formula Application
Data Requirements
Interpreting Results
Performance Benchmarking
Improvement Targets
Sigma Level
Understanding Sigma Metrics
Statistical Significance
Process Capability
Relating Sigma Level to Quality
Quality Performance
Business Impact
Sigma Level Calculation
Conversion Tables
Statistical Methods
The Normal Distribution
Properties of Normal Distribution
Bell Curve Characteristics
Standard Deviation
Application in Six Sigma
Process Capability
Control Limits
Distribution Analysis
Normality Testing
Data Transformation
The DMAIC Methodology
Define Phase
Project Selection
Selection Criteria
Business Impact Assessment
Resource Requirements
Developing Project Charter
Problem Statement
Goal Statement
Team Roles and Responsibilities
Timeline and Milestones
Defining Business Case
Financial Impact
Strategic Alignment
Risk Assessment
Understanding Voice of Customer (VOC)
Collecting Customer Feedback
Survey Methods
Interview Techniques
Kano Model
Basic Needs
Performance Needs
Excitement Needs
Critical to Quality (CTQ) Trees
Translating VOC to Requirements
Specification Development
High-Level Process Mapping
SIPOC Diagram
Suppliers
Inputs
Process
Outputs
Customers
Process Boundaries
Key Stakeholders
Measure Phase
Developing Data Collection Plan
Identifying Data Sources
Sampling Methods
Data Collection Forms
Understanding Data Types
Continuous Data
Measurement Scales
Precision Requirements
Discrete Data
Counting Methods
Attribute Data
Measurement System Analysis (MSA)
Gage R&R Studies
Repeatability Analysis
Reproducibility Analysis
Accuracy and Precision
Bias Assessment
Linearity Studies
Attribute Agreement Analysis
Operator Consistency
Standard Comparison
Establishing Process Baseline
Current Performance Metrics
Baseline Data Analysis
Performance Trends
Basic Statistical Concepts
Measures of Central Tendency
Mean
Median
Mode
Measures of Variation
Range
Variance
Standard Deviation
Data Distribution Shapes
Skewness
Kurtosis
Process Capability Analysis
Short-Term Capability
Cp (Process Capability)
Cpk (Process Capability Index)
Long-Term Capability
Pp (Process Performance)
Ppk (Process Performance Index)
Capability Interpretation
Specification Limits
Process Centering
Analyze Phase
Detailed Process Analysis
Process Mapping
Detailed Flow Charts
Swim Lane Diagrams
Identifying Bottlenecks
Capacity Analysis
Constraint Theory
Root Cause Analysis (RCA) Tools
The 5 Whys
Iterative Questioning
Cause Chain Analysis
Fishbone Diagram (Ishikawa Diagram)
Cause Categories
Man
Machine
Method
Material
Measurement
Environment
Pareto Charts
80/20 Rule
Prioritizing Issues
Graphical Analysis Tools
Histograms
Frequency Distributions
Data Patterns
Box Plots
Quartile Analysis
Outlier Identification
Scatter Plots
Correlation Analysis
Relationship Patterns
Run Charts
Trend Analysis
Time Series Data
Hypothesis Testing
Introduction to Hypothesis Testing
Null Hypothesis
Alternative Hypothesis
Type I and Type II Errors
T-Tests
One-Sample T-Test
Two-Sample T-Test
Paired T-Test
ANOVA (Analysis of Variance)
One-Way ANOVA
Two-Way ANOVA
Multiple Comparisons
Chi-Square Test
Goodness of Fit
Test of Independence
Non-Parametric Tests
Mann-Whitney Test
Kruskal-Wallis Test
Correlation and Regression Analysis
Correlation Coefficients
Pearson Correlation
Spearman Correlation
Simple Linear Regression
Regression Equation
R-Squared Analysis
Multiple Regression
Model Building
Variable Selection
Improve Phase
Brainstorming and Generating Solutions
Creative Problem Solving Techniques
Brainstorming Sessions
Mind Mapping
Solution Categories
Process Changes
Technology Solutions
Training Interventions
Solution Selection and Prioritization
Decision Matrices
Criteria Weighting
Solution Scoring
Cost-Benefit Analysis
Implementation Costs
Expected Benefits
Risk Assessment
Implementation Risks
Mitigation Strategies
Failure Modes and Effects Analysis (FMEA)
Identifying Potential Failures
Failure Modes
Failure Effects
Risk Assessment
Severity Ratings
Occurrence Ratings
Detection Ratings
Risk Priority Number (RPN)
Calculation Method
Prioritization
Design of Experiments (DOE)
Experimental Design Principles
Factors and Responses
Randomization
Full Factorial Designs
Two-Level Designs
Analysis Methods
Fractional Factorial Designs
Screening Experiments
Resolution Concepts
Piloting Solutions
Pilot Planning
Scope Definition
Success Criteria
Testing on Small Scale
Controlled Environment
Data Collection
Gathering Feedback
Stakeholder Input
Performance Measurement
Planning for Implementation
Implementation Strategy
Rollout Plan
Resource Requirements
Change Management
Communication Plan
Training Requirements
Resistance Management
Control Phase
Developing Control Plan
Monitoring Key Metrics
Critical Parameters
Measurement Frequency
Response Plans
Action Triggers
Corrective Actions
Statistical Process Control (SPC)
Control Charts
X-bar and R Charts
Individual and Moving Range Charts
p-Charts
c-Charts
u-Charts
Control Chart Interpretation
Control Limits
Out-of-Control Signals
Trend Analysis
Control Chart Implementation
Chart Selection
Sampling Strategy
Standardizing Processes
Standard Operating Procedures (SOPs)
Documentation Requirements
Process Steps
Work Instructions
Detailed Procedures
Visual Aids
Training and Certification
Competency Requirements
Skill Verification
Documenting Results and Lessons Learned
Project Documentation
Final Report
Data Analysis
Knowledge Transfer
Best Practices
Lessons Learned
Continuous Improvement Opportunities
Future Projects
Process Monitoring
Project Closure and Handover
Final Reporting
Results Summary
Financial Benefits
Transition to Process Owners
Responsibility Transfer
Ongoing Support
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2. The Lean Framework
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4. Integrating Lean and Six Sigma