| Courses comparison table |
LSS Yellow Belt 21 HOURS 20 PDU
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LSS Green Belt
45 PDU
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LSS Black Belt
60 PDU
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| Define Phase | |||
| The Basics of Six Sigma |
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| Meaning of Six Sigma |  |
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| General History of Six Sigma & Continuous Improvement | |
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| Deliverables of a Lean Six Sigma Project | |
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| The Problem Solving Strategy Y = f(x) | |
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| Voice of the Customer, Business and Employee | |
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| Six Sigma Roles & Responsibilities | |
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| The Fundamentals of Six Sigma | |||
| Defining a Process | |
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| Critical to Quality Characteristics (CTQ’s) | |
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| Cost of Poor Quality (COPQ) | |
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| Pareto Analysis (80:20 rule) | |
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| Basic Six Sigma Metrics | |
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| Selecting Lean Six Sigma Projects | |||
| Building a Business Case & Project Charter | |
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| Developing Project Metrics | |
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| Financial Evaluation & Benefits Capture | |
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| The Lean Enterprise | |||
| Basics of Lean | |
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| History of Lean | |
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| Lean & Six Sigma Integration | |
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| The Seven Elements of Waste | |
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| Straighten, Shine, Standardize, Self-Discipline, Sort | |
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| Measure Phase | |||
| Process Definition | |||
| Cause & Effect / Fishbone Diagrams | |
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| Process Mapping, SIPOC, Value Stream Map | |
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| X-Y Diagram | |
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| Failure Modes & Effects Analysis (FMEA) | |
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| Lean Six Sigma Statistics | |||
| Basic Applied Statistics | |
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| Descriptive Statistics | |
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| Distribution | |
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| Graphical Analysis | |
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| Measurement System Analysis | |||
| Precision & Accuracy | |
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| Bias, Linearity & Stability | |
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| Gage Repeatability & Reproducibility | |
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| Variable & Attribute MSA | |
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| Process Capability | |||
| Capability Analysis | |
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| Concept of Stability | |
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| Attribute & Discrete Capability | |
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| Monitoring Technique | |
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| Analyze Phase | |||
| Patterns of Variation | |||
| Multi-Vari Analysis | |
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| Classes of Distributions | |
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| Inferential Statistics | |||
| Understanding Inference | |
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| Sampling Techniques & Uses | |
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| Central Limit Theorem | |
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| Hypothesis Testing | |||
| General Concepts & Goals of Hypothesis Testing | |
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| Significance; Practical vs. Statistical | |
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| Risk; Alpha & Beta | |
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| Hypothesis Testing with Normal Data | |||
| sample & 2 sample t-tests | |
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| One-Way ANOVA | |
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| Two-Way ANOVA | |
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| Hypothesis Testing with Non-Normal Data | |||
| Mann-Whitney | |
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| Kruskal-Wallis | |
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| Mood’s Median | |
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| Friedman | |
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| Sample Sign | |
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| Sample Wilcoxon | |
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| One and Two Sample Proportion | |
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| Chi-Squared (Contingency Tables) | |
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| Improve Phase | |||
| Simple Linear Regression | |||
| Correlation | |
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| Regression Equations | |
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| Residuals Diagnostics Analysis | |
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| Multiple Regression Analysis | |||
| Non-Linear Regression | |
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| Multiple Linear Regression | |
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| Confidence & Prediction Intervals | |
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| Residuals Diagnostics Analysis | |
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| Data Transformation, Box Cox Technique | |
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| Designed Experiments | |||
| Experimental Objectives | |
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| Experimental Methods | |
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| Experiment Design Considerations | |
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| Full Factorial Experiments | |||
| Full Factorial Designs | |
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| Linear & Quadratic Mathematical Models | |
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| Balanced & Orthogonal Designs | |
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| Fit, Diagnose Model and Center Points | |
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| Fractional Factorial Experiments | |||
| Designs | |
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| Confounding Effects | |
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| Experimental Resolution | |
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| Advanced Experiments | |||
| Steepest Ascent Analysis | |
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| Control Phase | |||
| Lean Controls | |||
| Control Methods for 5S | |
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| Kanban (Pull Systems) | |
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| Poka-Yoke (Mistake Proofing) | |
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| Statistical Process Control (SPC) | |||
| Data Collection for SPC | |
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| I-MR Chart | |
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| Xbar-R Chart | |
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| U Chart | |
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| P Chart | |
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| NP Chart | |
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| Xbar-S Chart | |
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| CumSum Chart | |
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| EWMA Chart | |
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| Control Methods | |
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| Control Chart Anatomy | |
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| Subgroups, Impact of Variation, Frequency of Sampling | |
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| Center Line & Control Limit Calculations | |
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| Six Sigma Control Plans | |||
| Cost Benefit Analysis | |
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| Elements of the Control Plan | |
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| Elements of the Response Plan | |
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