Design for Six Sigma Statistics provides sophisticated Six Sigma practitioners with the statistical tools necessary for rooting out and solving problems associated with product or service design.
Features:
- DFSS Design of Experiments
- Measuring Process Capability
- Statistical Tolerancing in DFSS
- DFSS Techniques within the supply chain
Contents
The Design for Six Sigma Process
- Developing of DFSS
- Implementing DFSS
Defining Product Requirements
- Processing the Voice of the Customer
- Quality Function Deployment
- Critical to Quality Requirements
- Design for Manufacturability and Assembly
Making Decisions With Data
- Selecting Product Concepts
- Visualizing Data
- Estimating Population Parameters
- Selecting Distribution Models
- Fitting Models to Data
- Tests for Changes in Variation
- Tests for Changes in Average
- Tests for Changes in Proportion
- Making Robust Decisions
Controlling New Product Quality
- Designing Efficient Experiments in Five Minutes
- Two-Level Experiments
- Robust Experiments
Predicting New Product Quality
- Tolerance Design
- Measures of Process Capability
- Tolerance Analysis for Mechanical Engineers
- Tolerance Analysis for Electrical Engineers
- DFSS Scorecard
Controlling New Product Quality
- Stabilizing Processes
- Measurement Systems Analysis
- Statistical Process Control
Index
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