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Product Development & Statistical Tools
The main drivers of innovation are Imagination and Knowledge. New knowledge is gained through proper data collection and analysis using statistical methodology to understand those all important cause-and-effect relationships.
| Generic Product Development Process: | Applicable Statistical Tools: | |
| Generate Product Requirements Specification | |
(Sampling & Contingency Tables) | |
|
| Product Concept Generation | |
(Generally N/A) | |
|
| Prototype Build & Evaluation | |
(1 - 9) | |
|
| Concept Selection & Optimization | |
(1 – 9, with emphasis on DOE for Parameter and Tolerance Design) | |
|
| Product Design Verification Test | |
(1, 2, 3, 6, 7, 9) | |
|
| Process Design | |
(1 – 9) | |
|
| Process Optimization | |
(1 – 9, with emphasis on DOE for Parameter and Tolerance Design) | |
|
| Process Validation | |
(1, 2, 3, 6, 7, 9) | |
|
| Process Monitoring | (6, 7) |
1. Descriptive Statistics
2. Hypothesis Testing
3. Analysis of Variance (ANOVA)
4. Regression Analysis
5. Gage Repeatability & Reproducibility (GR&R)
6. Statistical Process Control (SPC)
7. Acceptance Sampling
8. Multi-Vari Analysis
9. Design of Experiments (DOE)
Note: Statistical Tool applications described in the Statistics Training Section