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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
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 (Sampling & Contingency Tables)
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 Product Concept Generation
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 (Generally N/A)
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Prototype Build & Evaluation
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 (1 - 9)
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 Concept Selection & Optimization
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 (1 – 9, with emphasis on DOE for
Parameter and Tolerance Design)

|
 Product Design Verification Test
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 (1, 2, 3, 6, 7, 9)
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 Process Design
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 (1 – 9)
|
 Process Optimization
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 (1 – 9, with emphasis on DOE for
Parameter and Tolerance Design)

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 Process Validation
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 (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