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Quality Improvement Through Planned Experimentation

ISBN-10: 0071759662
ISBN-13: 9780071759663
Edition: 3rd 2012
List price: $139.00 Buy it from $19.18
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Book details

List price: $139.00
Edition: 3rd
Copyright year: 2012
Publisher: McGraw-Hill Education
Publication date: 7/17/2012
Binding: Hardcover
Pages: 544
Size: 6.00" wide x 9.00" long x 1.25" tall
Weight: 1.760

#60;b#62;Gerald J. Langley#60;/b#62; is a statistician, author, and consultant, and co-founder of Associates in Process Improvement (API), a consulting firm that specializes in the improvement of quality and productivity.#60;p#62;#60;b#62;Ronald D. Moen#60;/b#62; is a statistician, consultant, and teacher to industry, government, and education. He is co-founder of API.#60;p#62;#60;b#62;Kevin M. Nolan#60;/b#62; is a statistician, author, and consultant at API, where he focuses on developing methods and assisting organizations to accelerate their rate of improvement in quality and productivity.#60;p#62;#60;b#62;Dr. Thomas W. Nolan#60;/b#62; is a statistician, author, and consultant, and)co-founder of API.#60;p#62;#60;b#62;Clifford L. Norman#60;/b#62; is a consultant with API whose work has emphasized the psychology of change.#60;p#62;#60;b#62;Lloyd P. Provost#60;/b#62; is a statistician who advises to organizations as an API associate.

Foreword
Preface
Acknowledgments
Improvement of Quality
Introduction
Building Knowledge and the Scientific Method
Defining Quality
Model for Improvement
Sequential Experimentation Using the PDSA Cycle
Summary
References
Exercises
Principles for Design and Analysis of Planned Experiments
Introduction and 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 Run Charts for a One-Factor Design
Using Shewhart Charts for One-Factor Experiments
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
Advanced Topics in the 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
Using Blocking to Design a Sequence of Experiments
Summary
Appendix: Development of Other Blocking Arrangements
References
Exercises
Evaluating Sources of Variation
Applications of Nested Designs
Planning and Analyzing an Experiment with Nested Factors
More Complex Nested Designs
Summary
Calculation of Variance Components
Calculating and Combining Statistics (X, S, or R)
References
Exercises
Sequential Experimentation-A Case Study
Improving a Milling Process-Getting Started
The First Improvement Cycle: Current Performance of the Mills
The Second PDSA Cycle: Sources of Variation
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 Optimum Levels
The Eighth PDSA Cycle: Confirmation of Improvements
Final Actions of the Mill Improvement Team
Exercises
Using a Time Series Response Variable
Incorporating Experimental Patterns in a Time Series
Shewhart Charts
Designs for Sequential Experimentation Using Time Series Response Variables
Summary
References
Exercises
Experiments with Factors at More Than Two Levels
Factorial Designs with More Than Two Levels
Augmenting 2k Factorial Designs with Center Points
Three-Level Designs for Quantitative Factors
Experiments for Formulations or Mixtures
Experimental Designs for Complex Systems
Summary
References
Exercises
Applications in Health Care
Introduction
Applications
Summary
References
Exercises
New Product Design
Introduction
Phase 0: Generate Ideas
Phase 1: Develop Concepts and Define Product
Phase 2: Test
Phase 3: Produce Product
Summary
References
Exercises
Evaluating Measurement Systems
Glossary
Index

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