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Design for Six SIGMA Statistics
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Table of Contents

Part I: The Design for Six Sigma ProcessChapter 1: Developing of DFSSChapter 2: Implementing DFSSPart II: Defining Product RequirementsChapter 3: Processing the Voice of the CustomerChapter 4: Quality Function DeploymentChapter 5: Critical to Quality RequirementsChapter 6: Design for Manufacturability and AssemblyPart III: Making Decisions With DataChapter 7: Selecting Product ConceptsChapter 8: Visualizing DataChapter 9: Estimating Population ParametersChapter 10: Selecting Distribution ModelsChapter 11: Fitting Models to DataChapter 12: Tests for Changes in VariationChapter 13: Tests for Changes in AverageChapter 14: Tests for Changes in ProportionChapter 15: Making Robust DecisionsPart IV: Controlling New Product QualityChapter 16: Designing Efficient Experiments in Five MinutesChapter 17: Two-Level ExperimentsChapter 18: Robust ExperimentsPart V: Predicting New Product QualityChapter 19: Tolerance DesignChapter 20: Measures of Process CapabilityChapter 21: Tolerance Analysis for Mechanical EngineersChapter 22: Tolerance Analysis for Electrical EngineersChapter 23: DFSS ScorecardPart VI: Controlling New Product QualityChapter 24: Stabilizing ProcessesChapter 25: Measurement Systems AnalysisChapter 26: Statistical Process Control

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