Quality Improvement Through Planned Experimentation 3/E

Ronald Moen , Thomas W Nolan , Lloyd P Provost 지음

McGraw-Hill 2012년 06월 05일 출간

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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!

목차

Chapter 1. Improvement of Quality
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&g

작가정보

저자(글) Ronald Moen

저자(글) Thomas W Nolan

저자(글) Lloyd P Provost