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Publisher's Note: Products purchased from Third Party sellers are not guaranteed by the publisher for quality, authenticity, or access to any online entitlements included with the product.The latest experimental design techniques for quality improvement"The methods taught in this book are a major contribution to statistical methods as an aid to engineers, as well as to those in industry, education, or government who are trying to understand the meaning of fi gures derived from comparisons or experiments." -- W. EDWARDS DEMINGCo-written by three recipients of the Deming Medal awarded by the American Society for Quality (ASQ), Quality Improvement through Planned Experimentation, Third Edition discusses the principles and methodologies for planning and conductingexperiments to improve products, processes, or systems.Fully revised with up-to-date case studies and incorporating new software, this authoritative guide fosters the sequential building of knowledge essential for implementing effective improvements. End-of-chapter exercises reinforce what you've learned, and forms for designing planned experiments help you to integrate themethods in the book into your daily work. The methods of planned experimentation provide an opportunity to better meet the needs of customers, reduce costs, and increase productivity by effecting verifiably beneficial changes.COVERAGE INCLUDES:* Improvement of quality * Principles for design and analysis of planned experiments * Experiments with one factor * Experiments with more than one factor * Reducing the size of experiments * Evaluating sources of variation* Sequential experimentation * Using a time series response variable * Designs with factors at more than two levels * Applications in health care * New product designNEW: Study-it software available for download!
1991 No primary address Improving Quality Through Planned Experimentaion
Chapter 1. Improvement of QualityBuilding Knowledge and the Scientific MethodDefining QualityModel for ImprovementSequential Experimentation Using the PDSA Cycle Chapter 2. Principles for Design and Analysis of Planned ExperimentsTypes of Planned ExperimentsPrinciples for Designing Analytic StudiesTools for ExperimentationForm for Documentation of a Planned ExperimentAnalysis of Data from Analytic Studies Chapter 3. Experiments with One FactorGeneral Approach to One-Factor ExperimentsUsing Run Charts for a One-Factor DesignUsing Shewhart Charts for One-Factor ExperimentsPaired-Comparison ExperimentsRandomized Block DesignsIncomplete Block Designs Chapter 4. Experiments with More Than one FactorIntroduction to Factorial DesignsDesign of Factorial ExperimentsAdvanced Topics in the Analysis of Factorial Experiments Chapter 5. Reducing the Size of ExperimentsIntroduction to Fractional Factorial DesignsFractional Factorial Designs--Moderate Current KnowledgeFractional Factorial Designs--Low Current Knowledge Using Blocking to Design a Sequence of Experiments Chapter 6. Evaluating Sources of VariationApplications of Nested DesignsPlanning and Analyzing an Experiment with Nested FactorsMore Complex Nested DesignsAppendix 6a: Calculation of Variance ComponentsAppendix 6b: Calculating and Combining StatisticsChapter 7. Sequential Experimentation--A Case StudyImproving a Milling Process--Getting StartedThe First Improvement Cycle: Current Performance of the MllsThe Second PDSA Cycle: Sources of VariationThe Third PDSA Cycle: Evaluating Mill Cutter VendorsThe Fourth PDSA Cycle: Screening Process VariablesThe Fifth PDSA Cycle: Evaluate Effect of Improvements on the Mill ProcessThe Sixth PDSA Cycle: Evaluating Important FactorsThe Seventh PDSA Cycle: Determining Optimum LevelsThe Eighth PDSA Cycle: Confirmation of ImprovementsFinal Actions of the Mill Improvement Team Chapter 8. Sequential Experimentation Using a Time Series Response VariableIncorporating Experimental Patterns in a Time SeriesShewhart ChartsDesigns for Sequential Experimentation Using Time Series Response Variables Chapter 9. Experiments with Factors at More than Two LevelsFactorial Designs with More Than Two LevelsAugmenting 2^k Factorial Designs with Center PointsThree Level Designs for Quantitative FactorsExperiments for Formulations or MixturesExperimental Design for Complex Systems Chapter 10. Applications in HealthcareChapter 11. New Product DesignPhase 0: Generate IdeasPhase 1: Develop Concepts and Define ProductPhase 2: TestPhase 3: Produce ProductAppendix A: Evaluating Measurement Systems
