Quality Improvement Through Planned Experimentation

ISBN-10: 0079137814

ISBN-13: 9780079137814

Edition: 2nd 1999 (Revised)

List price: $83.00
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Book details

List price: $83.00
Edition: 2nd
Copyright year: 1999
Publisher: McGraw-Hill Professional Publishing
Publication date: 7/1/1998
Binding: Mixed Media
Pages: 464
Size: 6.50" wide x 9.50" long x 1.50" tall
Weight: 1.848
Language: English

Foreword
Preface
Improvement of Quality
Introduction
Improvement of Quality
Model for Improvement
Summary
References
Exercises
Testing a Change
Introduction
Prediction and Degree of Belief
Using the PDSA Cycle to Test a Change
Designing Tests of Change
Principles for Testing a Change
Analysis of data from Tests of Change
Summary
References
Exercises
Principles for Design and Analysis of Planned Experiments
Definitions
Types of Planned Experiments
Principles for Designing Analytic Studies
Tools for Experimentation
Form for Documentation of a Planned Experiment
Analysis of Data from Analytic Studies
Summary
References
Exercises
Experiments with One Factor
General Approach to One-Factor Experiments
Using the Control Chart for a One-Factor Experiment
Example of a One-Factor Design
Paired-Comparison Experiments
Randomized Block Designs
Incomplete Block Designs
Summary
References
Exercises
Experiments with More Than One Factor
Introduction to Factorial Designs
Design of Factorial Experiments
Analysis of Factorial Experiments
Summary
References
Exercises
Reducing the Size of Experiments
Introduction to Fractional Factorial Designs
Fractional Factorial Designs--Moderate Current Knowledge
Fractional Factorial Designs--Low Current Knowledge
Blocking in Factorial Designs
Summary
References
Exercises
Evaluating Sources of Variation
The Control Chart as a Nested Design
Nested Design to Study Measurement Variation
A Three-Factor Nested Experiments
Planning and Analyzing an Experiment with Nested Factors
More than Three Factors in a Nested Design
A Study with Nested and Crossed Factors
Summary
Calculation of Variance Components
Calculating and Combining Statistics
References
Exercises
Experiments for Special Situations
Factorial Designs with More Than Two Levels
Augmenting 2k Factorial Designs with Center Points
Three-Level Factorial Designs
Experimental Design for Interchangeable Parts
Experiments for Formulations or Mixtures
Evolutionary Operation
Experimental Designs for Complex Systems
Summary
References
Exercises
New Product Design
Introduction
Generate Ideas
Develop Concepts and Define Product
Test
Produce Product
Summary
References
Exercises
Case Studies
Improving a Milling Process
Redesign a Wallpaper Product
Exercises
Improvement Using Control Charts
Introduction
Control Charts for Individual Measurements
Subgrouping
Interpretation of a Control Chart
Types of Control Charts
Capability of a Process
Planning a Control Chart
Summary
References
Exercises
Evaluating Measurement Systems
Introduciton
Studying Measurement Processes
Data from a Measurement Process
Monitoring and Improving a Measurement Process
Using Planning Experimentation to Improve a Measurement Process
Case Study: Evaluating a Measurement Process
Summary
References
Form
Worksheet for Documenting a PDSA Cycle
Form for Documentation of a Planned Experiment
Tables of Random Numbers
Design Matrices for Low Current Knowledge
Design Matrices for Moderate Current Knowledge
Design Matrices for High Current Knowledge
Gossary
Index
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