Helping businesses dramatically improve their product and manufacturing performance!!!

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
|
 (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
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 (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