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