Quality Improvement Through Planned Experimentation: Third Edition

Quality Improvement
through Planned
Experimentation
Third Edition
Ronald D. Moen
Thomas W. Nolan
Lloyd P. Provost
Me
Graw
Hill
New York Chicago San Francisco
Lisbon London Madrid Mexico City
Milan New Delhi San Juan
Seoul Singapore Sydney Toronto
CONTENTS
Foreword
CHAPTER 1
Preface
xv
Acknowledgments
xix
Improvement of Quality
1.1
1.2
CHAPTER 2
xiii
Introduction
Building Knowledge and the Scientific
Method
1.3 Defining Quality
1.4 Model for Improvement
1.5 Sequential Experimentation Using
the PDSA Cycle
1.6 Summary.;
References
Exercises
19
21
22
23
Principles for Design and Analysis of

Planned Experiments
25
2.1 Introduction and Definitions

2.2 Types of Planned Experiments
2.3 Principles for Designing Analytic
Studies
2.4 Tools for Experimentation
2.5 Form for Documentation of a Planned
Experiment
2.6 Analysis of Data from Analytic Studies
2.7 Summary
References
Exercises
1
2
4
9
25
29
34
40
y 51
54
58
58
59
VII
VIII
Contents
CHAPTER 3
Experiments with One Factor
63
3.1
CHAPTER 4
CHAPTER 5
General Approach to One-Factor

Experiments
3.2 Using Run Charts for a One-Factor
Design
3.3 Using Shewhart Charts for One-Factor
Experiments
3.4 Paired-Comparison Experiments
3.5 Randomized Block Designs
3.6 Incomplete Block Designs
3.7 Summary
References
Exercises
76
79
85
95
103
104
104
Experiments with More Than One Factor
109
4.1 Introduction to Factorial Designs

4.2 Design of Factorial Experiments
4.3 Advanced Topics in the Analysis of
Factorial Experiments
4.4 Summary
References
Exercises
Ill
136
142
156
156
156
Reducing the Size of Experiments
161
Introduction to Fractional Factorial

Designs
5.2 Fractional Factorial DesignsModerate
Current Knowledge
5.3 Fractional Factorial DesignsLow
Current Knowledge
5.4 Using Blocking to Design a Sequence of
Experiments
5.5 Summary
Appendix: Development of Other Blocking
Arrangements
64
68
5.1
163
170
183
? 192
202
204
Contents
CHAPTER 6
CHAPTER 7
| ix
References
Exercises
206
207
Evaluating Sources of Variation
211
6.1 Applications of Nested Designs

6.2 Planning and Analyzing an Experiment
with Nested Factors
6.3 More Complex Nested Designs
6.4 Summary
Appendix 6 A: Calculation of Variance
Components
Appendix 6B: Calculating and Combining
Statistics (X, S, or R)
References
Exercises
213
244
245
245
Sequential ExperimentationA Case Study
251
7.1
7.2
7.3
7.4
7.5
7.6
7.7
7.8
7.9
Improving a Milling ProcessGetting

Started
The First Improvement Cycle: Current
Performance of the Mills
The Second PDSA Cycle: Sources
ofVariation..
The Third PDSA Cycle: Evaluating Mill
Cutter Vendors
The Fourth PDSA Cycle: Screening Process
Variables
The Fifth PDSA Cycle: Evaluate Effect of
Improvements on the Mill Process
The Sixth PDSA Cycle: Evaluating
Important Factors
The Seventh PDSA Cycle: Determining j
Optimum Levels
The Eighth PDSA Cycle: Confirmation
of Improvements
221
227
238
238
251
255
261
263
265
269
270
275
277
Contents
7.10
CHAPTER 8
Final Actions of the Mill Improvement

Team
Exercises
277
280
Using a Time Series Response Variable
281
8.1
Incorporating Experimental Patterns

in a Time Series
8.2 Shewhart Charts
8.3 Designs for Sequential Experimentation
Using Time Series Response Variables
8.4 Summary
References
Exercises
CHAPTER 9
Experiments with Factors at More Than

Two Levels
Factorial Designs with More Than Two
Levels
,
k
9.2 Augmenting 2 Factorial Designs with
Center Points
9.3 Three-Level Designs for Quantitative
Factors
9.4 Experiments for Formulations or
Mixtures
9.5 Experimental Designs for Complex
Systems
9.6 Summary
References
Exercises
281
286
295
303
303
304
309
9.1
CHAPTER 10
Applications in Health Care

10.1 Introduction
10.2 Applications
10.3 Summary
References
Exercises
309
316
321
326
337
341
342
342
345
J346
350
365
.. 366
367
Contents
CHAPTER 11
XI
New Product Design
369
11.1 Introduction
11.2 Phase 0: Generate Ideas
11.3 Phase 1: Develop Concepts and
Define Product
11.4 Phase 2: Test
11.5 Phase 3: Produce Product
11.6 Summary
References
Exercises
369
372
APPENDIX A Evaluating Measurement Systems
377
397
413
414
415
416
417
Glossary
457
Index
465

Quality Improvement Through Planned Experimentation: Third Edition

Uploaded by

Copyright:

Available Formats

Quality Improvement Through Planned Experimentation: Third Edition

Uploaded by

Document Information

Original Description:

Original Title

Copyright

Available Formats

Share this document

Share or Embed Document

Sharing Options

Did you find this document useful?

Is this content inappropriate?

Copyright:

Available Formats

Quality Improvement Through Planned Experimentation: Third Edition

Uploaded by

Copyright:

Available Formats

Quality Improvement

Principles for Design and Analysis of

2.1 Introduction and Definitions

Experiments with One Factor

General Approach to One-Factor

Experiments with More Than One Factor

4.1 Introduction to Factorial Designs

Reducing the Size of Experiments

Introduction to Fractional Factorial

Evaluating Sources of Variation

6.1 Applications of Nested Designs

Sequential ExperimentationA Case Study

Improving a Milling ProcessGetting

Final Actions of the Mill Improvement

Using a Time Series Response Variable

Incorporating Experimental Patterns

Experiments with Factors at More Than

Applications in Health Care

New Product Design

APPENDIX A Evaluating Measurement Systems

You might also like