My Account Details
ISBN10: 0071759670 | ISBN13: 9780071759670
ISBN10: 0071759670
ISBN13: 9780071759670
Step 1 . Download Adobe Digital Editions to your PC or Mac desktop/laptop.
Step 2. Register and authorize your Adobe ID (optional). To access your eBook on multiple devices, first create an Adobe ID at account.adobe.com. Then, open Adobe Digital Editions, go to the Help menu, and select "Authorize Computer" to link your Adobe ID.
Step 3. Open Your eBook. Use Adobe Digital Editions to open the file. If the eBook doesn’t open, contact customer service for assistance.
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 DEMING Co-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 conducting experiments 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 the methods 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 design NEW: Study-it software available for download!
Chapter 1. Improvement of Quality
Building Knowledge, the Scientific Method
Improvement of Quality
Model for Improvement
Using the PDSA Cycle to Test a Change
Building Knowledge, the Scientific Method
Improvement of Quality
Model for Improvement
Using the PDSA Cycle to Test a Change
Chapter 2. Principles for Design and Analysis of Planned Experiments
Types of Planned Experiments
Principles for Designing Analytic Studies
Tools for Experimentation
Form for Documentation
Analysis of Data from Analytic Studies
Chapter 3. Experiments with One Factor
General Approach to 1 Factor Experiments
Using Control Chart for a 1 Factor Experiment
Example of a One Factor Design
Paired Comparison Experiments
Randomized Block Designs
Incomplete Block Designs
Chapter 4. Experiments w/ More Than 1 Factor
Introduction to Factorial Designs
Design of Factorial Experiments
Analysis of Factorial Experiments
Chapter 5. Reducing Size of Experiments
Introduction to Fractional Factorial Designs
Fractional Factorial Designs Moderate
Fractional Factorial Designs Low
Blocking in Factorial Designs
Chapter 6. Evaluating Sources of Variation
Rational Subgrouping with Control Charts
Nested Design to Study Variation
A Three Factor Nested Experiment
Planning/Analyzing with Nested Factors
More than Three Factors in a Nested Design
A Study with Nested and Crossed Factors
Calculating Variance Components
Calculating Summary Statistics
Chapter 7. Case Study: Sequential Expriment
Improving a Mill Process
Chapter 8. Time Series Designs
Designs for Studying Changes over time
Use of Shewhart Control Charts
Case Study – Sequential Experimentation Using Time Series
Chapter 9. Experiments with More than 2 Levels and Special Applications
Factorial Designs with More Than 2 Levels
Augmenting 2^k Factorial Designs with Center Points,br>Three level Factorial Designs
Special applications (Interchangeable Parts, Mixtures, Evolutionary Operation)
Experimental Design for Complex Systems
Chapter 10. Applications in the Biomedical FieldCase Study
Chapter 11. New Product Design
Phase 0: Generate Ideas
Phase 1: Develop Concepts, Define Product
Phase 2: Test
Phase 3: Implement
Case Study: Redesign a Wallpaper Product
Appendix A: Measurement
Studying Measurement Processes in the physical and social sciences
Case Study: Evaluating a Measurement Process
Appendix B: Forms
Worksheet for Documenting a PDSA Cycle
Worksheet of a Planned Experiment
Need support? We're here to help - Get real-world support and resources every step of the way.
Top