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Lean Innovation Training (LIT) Tools
Combining the Power of Creative Problem Solving and Lean Six Sigma
Lean Innovation Training (LIT) Tools
Combining the Power of Creative Problem Solving and Lean Six Sigma
Our Lean Innovation Training (LIT) features an amalgamation of powerful Lean Six Sigma (LSS) tools with a selection of Creative Problem Solving (CPS) tools. This combination results in an intervention that
- uses the proven DMAIC project management approach of Six Sigma together with many of Six Sigma tools,
- adds the suitable Lean tools that apply to projects to solve turnaround-related problems and
- generates out-of-the-box solutions by utilising creativity tools to boost the novelty of the solution ideas.
The following table compares the utilisation of tools/concepts in Lean Six Sigma (LSS) Green Belt training and Lean Innovation Training (LIT).
| Phase | Tools Used | LSS | LIT |
| Define | Project charter |  | |
| SIPOC process map | | | |
| Voice of the customer (VOC) | Â | Â | |
| Proactive and reactive customer feedback | | | |
| Customer satisfaction data analysis | | Â | |
| Kano analysis | | | |
| Stakeholder analysis and communication plan | | | |
| Idea box | Â | | |
| Future scenario | Â | | |
| Measure | Sampling | Â | Â |
| Sample size | | Â | |
| Confidence interval | | Â | |
| Data collection plan | | | |
| Data plots | Â | Â | |
| Bar and column chart | | | |
| Box plot | | | |
| Histogram | | Â | |
| Scatter plot | | | |
| Marimekko chart | Â | | |
| Ishikawa diagram | | Â | |
| Reverse brainstorming | Â | | |
| Process performance metrics | Â | Â | |
| Customer satisfaction score | | | |
| Defects per million opportunities (DPMO) | | Â | |
| Yield | | | |
| Sigma level | | Â | |
| Process efficiency | | | |
| Gage R&R | Â | Â | |
| Attribute gage R&R | | Â | |
| ANOVA gage R&R | | Â | |
| Analyse | Deployment flow chart | | |
| Spaghetti flow chart | | | |
| Value stream analysis | Â | Â | |
| Value stream map (VSM) | | | |
| 7 wastes | | | |
| Takt time calculation | | | |
| Process efficiency calculation | | | |
| Regression | Â | Â | |
| Simple linear regression | | | |
| Multiple linear regression | | Â | |
| Regression with Discrete Factors | | Â | |
| Non-linear regression | | Â | |
| Hypothesis tests | Â | Â | |
| T-test | | | |
| Paired t-test | | Â | |
| One-way ANOVA | | Â | |
| F-test, Bartlett test, Levene test | | Â | |
| Two-proportion test | | | |
| Chi-square test | | Â | |
| Non-parametric tests | | Â | |
| Basic design of experiments (DOE) | | Â | |
| Improve | Brainstorming | | |
| Webbing | Â | | |
| Analogies | Â | | |
| Substitute, combine, adapt, modify, put to another use, eliminate, reverse (SCAMPER) | Â | | |
| Idea box | Â | | |
| Reverse brainstorming | Â | | |
| Forced connection | Â | | |
| Solution selection matrix | | Â | |
| Effort-impact-matrix | Â | | |
| Failure-mode-effects-analysis (FMEA) | | Â | |
| Implementation plan | | | |
| Stakeholder analysis and communication plan | | | |
| Change management plan | | | |
| Force-field-analysis | Â | | |
| Control | Process management plan | Â | Â |
| Process monitoring with attribute control charts | Â | Â | |
| np-chart | | Â | |
| p-chart | | | |
| c-chart | | Â | |
| u-chart | | | |
| Process monitoring with variable control charts | Â | Â | |
| I chart | | | |
| X-bar chart | | Â | |
| R chart | | Â | |
| EWMA chart | | Â | |
| CUSUM chart | | Â | |
| ROI analysis | | | |
| Statistical Proof of Improvement | | | |
| Software | MS Excel with Analysis ToolPak | | |
| SigmaXL or | | Â | |
| Minitab or | | Â | |
| R | |