Six Sigma — Cheatsheets
DMAIC phases
|---|---|---|
| Define | Define problem, goals, customer requirements | Project Charter, SIPOC |
|---|
| Measure | Establish current process performance (data-based) | Operational definitions, data collection plan, process capability |
| Analyze | Identify root causes using Measure's data | Fishbone/Ishikawa diagram, 5 Whys |
| Improve | Develop, test, implement solutions | Pilot testing before full rollout |
| Control | Sustain improvement over time | Control charts, Control Plan |
Statistical target
|---|---|
| Six Sigma quality | ≤3.4 defects per million opportunities |
|---|
| Statistical basis | Specification limits 6 standard deviations from process mean |
(needs verification — recheck against current source: exact figures are standard reference points but can vary slightly by source/convention.)
Belt hierarchy
|---|---|
| Yellow Belt | Basic awareness, team member support |
|---|
| Green Belt | Leads smaller projects, applies DMAIC |
| Black Belt | Leads complex projects, deeper statistics, mentors Green Belts |
| Master Black Belt | Organization-wide strategy, Black Belt mentorship |
(needs verification — recheck against current source: responsibilities vary by certifying body — ASQ, IASSC, etc.)
Variation types
|---|---|---|
| Common cause | Natural, inherent, always-present factors | Redesign the process |
|---|
| Special cause | Identifiable, specific, often intermittent | Find and eliminate the source |
Black Belt-level statistical techniques
|---|---|
| Hypothesis testing | Test if observed difference is statistically significant |
|---|
| Design of Experiments (DOE) | Efficiently test multiple variables, detect interaction effects |
| Regression analysis | Model relationship between inputs and outputs |
Six Sigma vs. Lean
|---|---|
| Six Sigma | How much does this process vary, and why? |
|---|
| Lean | Is this step adding value, or is it waste? |
| Lean Six Sigma | Combines both perspectives |